[go: up one dir, main page]

CN119084825A - Bidirectional iterative adaptive regulation method, device, equipment and medium for pipeline network gas source - Google Patents

Bidirectional iterative adaptive regulation method, device, equipment and medium for pipeline network gas source Download PDF

Info

Publication number
CN119084825A
CN119084825A CN202411601917.7A CN202411601917A CN119084825A CN 119084825 A CN119084825 A CN 119084825A CN 202411601917 A CN202411601917 A CN 202411601917A CN 119084825 A CN119084825 A CN 119084825A
Authority
CN
China
Prior art keywords
pipe
module
current
supply
judgment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202411601917.7A
Other languages
Chinese (zh)
Other versions
CN119084825B (en
Inventor
金威
王文波
栾星
周翔
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Three Zero Four Zero Technology Co ltd
Original Assignee
Shanghai Three Zero Four Zero Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Three Zero Four Zero Technology Co ltd filed Critical Shanghai Three Zero Four Zero Technology Co ltd
Priority to CN202411601917.7A priority Critical patent/CN119084825B/en
Publication of CN119084825A publication Critical patent/CN119084825A/en
Application granted granted Critical
Publication of CN119084825B publication Critical patent/CN119084825B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17DPIPE-LINE SYSTEMS; PIPE-LINES
    • F17D1/00Pipe-line systems
    • F17D1/02Pipe-line systems for gases or vapours
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17DPIPE-LINE SYSTEMS; PIPE-LINES
    • F17D3/00Arrangements for supervising or controlling working operations
    • F17D3/01Arrangements for supervising or controlling working operations for controlling, signalling, or supervising the conveyance of a product

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Pipeline Systems (AREA)

Abstract

本发明公开了管网气源双向迭代自适应调节方法、装置、设备及介质,属于智慧城市运营技术领域,其技术方案要点是:采用仿真模块、欠压情况获取模块、当前管容判断和调节模块、累积管容判断和调节模块、溯源模块、压力调节模块作为调节系统架构;将边界赋值数据经由仿真模块得到所有管道节点的算值数据后,经过时刻管容判断和调节模块、累积管容判断和调节模块以及欠压调节模块进行调节,将调节之后的结果再次进行仿真,循环往复若干次,凡是有一次不满足判断要求,则直接进行调节,不再进行后续的判断调节。本方法在满足用户压力下限、达到保供要求等前提下,合理进行资源分配,帮助城燃企业进行资源精细化管理。

The present invention discloses a bidirectional iterative adaptive regulation method, device, equipment and medium for pipeline gas source, which belongs to the field of smart city operation technology. The key points of its technical solution are: using simulation module, undervoltage situation acquisition module, current pipe capacity judgment and regulation module, cumulative pipe capacity judgment and regulation module, traceability module and pressure regulation module as the regulation system architecture; after the boundary assignment data is obtained through the simulation module, the calculated data of all pipeline nodes are adjusted through the momentary pipe capacity judgment and regulation module, the cumulative pipe capacity judgment and regulation module and the undervoltage regulation module, and the adjusted result is simulated again, and the cycle is repeated several times. Whenever the judgment requirement is not met once, the adjustment is directly carried out, and no subsequent judgment and adjustment are carried out. Under the premise of meeting the user's lower pressure limit and meeting the supply guarantee requirements, this method reasonably allocates resources and helps urban gas companies to carry out refined resource management.

Description

Bidirectional iteration self-adaptive adjusting method, device, equipment and medium for pipe network air source
Technical Field
The invention relates to the technical field of intelligent city operation, in particular to a bidirectional iterative self-adaptive regulation method, device, equipment and medium for a pipe network air source.
Background
In recent years, with the rapid development of economy, the demand for natural gas as clean energy has increased, and this rapidly increasing high demand has undoubtedly increased the need for supply capacity and regulation capacity of natural gas pipelines. Although the natural gas pipe network is currently in the blowout period of construction, the relatively lagging peak shaving and scheduling technology clearly limits the high-quality development of the pipe network field. The peak regulation mode is single, the peak regulation effect is limited, the peak regulation thought is simple, the peak regulation result is inconsistent with the actual peak regulation result, and the like, which are the defects of the existing peak regulation. This results in that the pipe network is difficult to supply air to meet the demands of users in the peak demand period, and excessive air supply occurs in the valley period, so that resource waste is caused.
The existing peak regulation and scheduling technology mainly comprises starting and stopping peak regulation, low-power consumption hot standby peak regulation, energy storage technology peak regulation, supply protection peak regulation, demand side management peak regulation and the like. The starting and stopping peak regulation is to set peak-valley time period for the experience condition of the past period, start in peak time period, close in valley time period, mainly start in daytime, close at night, start in holiday, close in weekday and the like. Similar to the start-up peak shaving, the low-power hot standby peak shaving uses low-power operation instead of stop operation in the start-up peak shaving, operates normally in peak periods and operates in low-power mode in valley periods. The energy storage technology reduces the dependence of peak regulation on peak-valley period, and saves the surplus quantity in the valley period in a storage mode so as to support the use of the subsequent non-valley period. The supply protection peak regulation is based on the premise of user supply protection, and the supply quantity is gradually increased to ensure that the requirements of a user side are met. The peak-valley pricing rule is formulated in the management peak regulation of the demand side, so that users are guided to reduce the use of the system in the peak period and increase the use of the system in the valley period.
The peak-to-valley period is set according to experience by starting up and regulating peak and low-power consumption hot standby peak, accurate judgment of future peak and valley is difficult to be made by means of empirically completed peak regulation, certain hysteresis is achieved, and meanwhile equipment use habit of large opening and closing of the peak and valley is influenced by equipment health. Although the peak-valley period dependency of the energy storage technology is weakened, the energy storage mode in the valley period does not accord with the actual scene in the field of natural gas pipe networks, namely Guan Rongyuan can be stored to be smaller than the total daily supply amount, and the normal operation of the pipe network state is difficult to ensure. In the supply peak regulation, when the user has under-pressure, the pressure or flow of the gas source end is increased so as to relieve or solve the under-pressure of the user, which means that the total gas supply amount is only increased or not reduced, if the total gas supply amount is limited, the condition of sufficient supply in the first half period and insufficient supply in the second half period can occur, and if the total gas supply amount is not limited, the condition of excessive total gas supply amount and redundant gas amount can occur, so that the resource waste is caused. The peak clipping and filling of the peak clipping of the demand side management from the user side is only one mode for guiding the user to use the peak clipping, and the reasonable and effective dispatching and adjustment of the supply side can not be realized according to the current situation.
As shown in fig. 1, the simple pipe network is taken as an example, and comprises two air sources (air source a and air source B), four users (users 1-4) and a plurality of intermediate nodes. Peak regulation scheduling is a pre-simulation of the running state of the pipe network at a plurality of moments in the future, so that the precondition of the simulation, namely the assignment of boundary values, is usually given by a mode of combining experience, history synchronization and prediction. For the demand quantity of the user side, the assignment method reflects the change trend of the user gas to a certain extent, and the gas source end is far from being assigned in such a way, and on the basis of the assignment, the requirements of the user side on supply protection, simulation calculation convergence and the like are also required to be considered, so that the user side is continuously adjusted. However, the existing peak shaving scheduling method simplifies peak shaving logic and requirements, and is difficult to obtain effective scheduling effect under real complex working conditions.
Therefore, a more efficient peak shaving scheduling technology is needed to help urban fuel enterprises simulate the existing future air source scheduling schemes, find defects in the existing future air source scheduling schemes, optimize the existing future air source scheduling schemes in an efficient and reliable air source adjusting mode, and finally achieve the purposes of reasonable resource distribution and utilization.
Disclosure of Invention
Aiming at the problems in the background art, the invention aims to provide a bidirectional iterative self-adaptive regulation method, device, equipment and medium for a pipe network air source, so as to solve the problems in the background art.
The technical aim of the invention is realized by the following technical scheme:
The bidirectional iteration self-adaptive regulation method for the pipe network air source adopts a simulation module, an under-voltage condition acquisition module, a current pipe capacity judging and regulating module, an accumulated pipe capacity judging and regulating module, a tracing module and a pressure regulating module as a regulation system framework, wherein after the boundary assignment data are obtained through the simulation module, the calculated value data of all pipe nodes are regulated through the moment pipe capacity judging and regulating module, the accumulated pipe capacity judging and regulating module and the under-voltage regulating module, the regulated result is simulated again, and the circulation is repeated for a plurality of times, and if the judgment requirement is not met once, the regulation is directly carried out, and the subsequent judgment regulation is not carried out.
The simulation flow of the simulation module is preferably that calculation is carried out on boundary assignment data, the state conditions of all pipelines and nodes under the condition of current assignment are simulated and used for subsequent judgment and adjustment, the under-voltage condition acquisition module is used for recording under-voltage conditions of current simulation results, wherein users lower than the lower limit of user pressure are under-voltage users, users higher than the lower limit of user pressure are over-voltage users, and recording results are used for subsequent pressure adjustment modules.
Preferably, the current pipe capacity judging and adjusting module is configured to judge whether available pipe capacities and storable pipe capacities in the pipe network at the current moment conform to a normal state of the pipe network, and may be:
;
wherein, AndThe minimum available pipe storage and the maximum available pipe storage of the normal operation of the pipe network respectively meet the following conditionsI is the current time,The total amount is supplied to the air source end at the current moment i,The total demand of the user side at the current moment i,The pipe memory is available for the last moment i-1;
Is known to be Is fixed and is used for the treatment of the skin,Is varied and can obtainJudging whether the current residual air quantity can be pressed into the residual storable Guan Rong or not and whether the current available total quantity meets the total quantity of the user side requirements at the current moment or not by utilizing the method;
setting the use of available pipe memory and available pipe capacity at each moment not to exceed rated coefficient Can be obtained;
The current pipe capacity judging and adjusting module judges whether the relation between the total air supply amount of the air source and the total user demand amount at the current moment is too different or not through real-time monitoring of the available pipe capacity and the storable pipe capacity at the last moment, if the current supply cannot meet the user demand, the air source supply is increased, if the current supply surplus cannot be pressed into the storable pipe capacity Guan Rong, the air source supply is reduced, and meanwhile, the rated coefficient is calculatedIs set up to ensure a relatively stable difference at a later time, limiting the supply variation of the gas source to a small adjustment interval.
Preferably, the accumulated pipe capacity judging and adjusting module is configured to judge whether available pipe storage and storable pipe capacity in the pipe network at the accumulated time accords with a normal state of the pipe network, and may be:
;
wherein, AndThe minimum available pipe storage and the maximum available pipe storage of the normal operation of the pipe network respectively meet the following conditions,Is available pipe memory at time 0, i is the current time,The total amount is supplied to the air source end at the kth moment,The total amount of the demands of the user side at the kth moment,For the total supply of air source from time 1 to time i,The total user demand amount from the 1 st time to the i th time;
Is known to be Is fixed and is used for the treatment of the skin,Is varied and can obtain+The method is used for judging whether surplus air supply quantity of the air source at the accumulation moment overflows the storable pipe capacity or whether the available pipe capacity of the part with overlarge user demand meets the supply or not, if so, reducing the air source supply at the current moment, and if not, increasing the air source supply at the current moment;
The accumulated pipe capacity judging and adjusting module monitors the accumulated amount of the supply amount and the demand amount from 0 moment to the current moment, an accumulated pipe capacity judging method is added on the basis of moment pipe capacity judgment, and the accumulated change of the available pipe capacity and the storable pipe capacity at the calculated moment is monitored, so that the situation that the moment pipe capacity judgment is not more than the rated duty ratio coefficient but the accumulated pipe capacity excess judgment is not passed is effectively avoided, and the effect of integrally assigning and optimizing the direction to the controlled air source end is achieved.
Preferably, the accumulated pipe capacity judging and adjusting module performs policy selection by judging whether the formula 1 or the formula 2 is satisfied, no operation is performed when the formula 1 or the formula 2 is satisfied, the air source end reduces the supply when the supply surplus is excessively large and the storable pipe capacity is not pressed in, the air source end increases the supply when the supply and the available pipe capacity are not satisfied, and the tracing module can obtain the duty ratio of the flow of each user at each air source.
Preferably, the flow of the pressure regulating module is that under-pressure and over-pressure conditions of users are obtained, corresponding air sources of each user are obtained through tracing, an air source list related to the under-pressure user is recorded as A, an air source list related to the over-pressure user is recorded as B, for the under-pressure condition, the flow and the pressure of the air sources in the list A are increased, for the over-pressure condition, a difference is made between the list B and the list A to obtain a list C, the flow and the pressure of the air sources in the list C are reduced, and for setting of a regulating step size, the following formula is adopted:
;
the step is the adjustment step length, For a fixed ratio, left is the air source recovery quantity remaining,For the purpose of the amount of the wholesale,For the residual quantity duty ratio, in order to avoid the condition that the residual quantity duty ratio is small and the adjustment step is too small to cause ineffective adjustment, the residual quantity duty ratio is larger thanWhen the step length adjusting method which is changed along with the residual quantity is adopted, otherwise, use the fixingThe step length is dynamically adjusted according to the residual quantity.
The invention also discloses a pipe network air source bidirectional iteration self-adaptive adjusting device, which comprises:
the simulation module calculates the boundary assignment data and simulates the state conditions of all pipelines and nodes under the current assignment condition;
The under-voltage condition acquisition module is used for recording the under-voltage condition of the current simulation result;
The current pipe capacity judging and adjusting module is used for judging whether available pipe storage and storable pipe capacity in the pipe network at the current moment accord with the normal state of the pipe network or not;
The accumulated pipe capacity judging and adjusting module is used for judging whether available pipe storage and storable pipe capacity in the pipe network at the accumulated moment accord with the normal state of the pipe network or not;
the system comprises a tracing module and a pressure adjusting module.
The invention also discloses a pipe network air source bidirectional iteration self-adaptive adjusting device, which comprises a computer, wherein a memory for storing a control program is arranged on the computer, and the computer is used for executing the computer program so as to realize the pipe network air source bidirectional iteration self-adaptive adjusting method.
The invention also discloses a computer readable storage medium for storing a computer program, wherein the steady-state tracing monitoring analysis method of the natural gas pipe network is realized when the computer program is executed by a processor.
In summary, the invention has the following advantages:
The invention provides a high-efficiency and reliable pipe network air source bidirectional iteration self-adaptive adjusting method, device, equipment and medium. The method performs resource scheduling on the pipe network through a bidirectional adjustment mechanism, self-adaptive step length and pipe capacity judgment. On the premise of meeting the lower limit of the pressure of a user, meeting the requirements of supply protection and the like, reasonably distributing resources and helping urban fuel enterprises to carry out resource fine management;
The invention provides a bi-directional air source regulating mechanism. Setting up and down regulation logics of pressure and flow of the air source according to the under-pressure condition of a user, and effectively relieving the condition that the rated total amount is used up too early or the total amount of air source supply is too much in the guaranteed supply peak regulation because the air supply amount is always increased;
The invention provides a pipe capacity judging mechanism. Deducing and constructing flow constraint relations of available pipe storage, compressible pipe capacity, user demand and air source supply from a formula angle based on moment pipe capacity and accumulated pipe capacity respectively, effectively solving the conversion problem of energy storage and supply in energy storage technology peak regulation, and enabling the whole peak regulation schedule to be more fit with the pipe network state in a real scene;
The invention provides a self-adaptive step length adjusting mechanism, which comprises a memory enhancing mechanism and a recovery quantity residual monitoring mechanism, and is used for dynamically adjusting the step length of an air source, so that the problem of poor effect caused by the hardness adjustment of a single step length is effectively solved, and the possibility that the result approaches to an ideal condition is effectively improved by a fine adjusting mode brought by the self-adaptive step length adjusting operation.
The invention effectively relieves the condition that the rated total amount is used up too early or the total amount of air supply is too much because of the gradual increase of the air supply amount in the peak regulation of the reserved supply, the pipe capacity judging mechanism is divided into a time pipe capacity and an accumulated pipe capacity, the flow constraint relation of available pipe capacity, compressible pipe capacity, user demand and air supply is deduced and constructed from the angle of a formula, the conversion problem of energy storage and supply in the peak regulation of the energy storage technology is effectively solved, the whole peak regulation is more fit with the pipe network state in the real scene, the invention adopts the self-adaptive step regulating mechanism, which comprises a memory enhancing mechanism and a recovery residual monitoring mechanism, and dynamically regulates the air supply in the pipe capacity judging and the pressure judging respectively, the problem of poor effect caused by single step hardening regulation is effectively relieved, and the fine regulating mode brought by the method effectively improves the possibility that the result approaches to the ideal situation.
Drawings
FIG. 1 is a schematic diagram of a simplified pipe network as indicated in the background;
FIG. 2 is an overall flow diagram of gas source regulation;
FIG. 3 is a flow chart of a tube capacity determination adjustment module;
FIG. 4 is a flow chart of a pressure determination adjustment module;
FIG. 5 is a block diagram of a two-way iterative adaptive regulator for a pipe network air supply;
fig. 6 is a block diagram of a two-way iterative adaptive modulation apparatus for a pipe network gas source.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
Referring to fig. 1 to 6, the embodiment provides a bidirectional iterative self-adaptive regulation method for a pipe network air source, which adopts a simulation module, an under-voltage condition acquisition module, a current pipe capacity judging and regulating module, an accumulated pipe capacity judging and regulating module, a tracing module and a pressure regulating module as a regulation system framework, wherein after boundary assignment data are obtained through the simulation module to obtain calculated value data of all pipe nodes, the calculated value data are regulated through a time pipe capacity judging and regulating module, an accumulated pipe capacity judging and regulating module and an under-voltage regulating module, the regulated result is simulated again, and the circulation is repeated for a plurality of times, and if the judgment requirement is not met once, the regulation is directly carried out, and the subsequent judgment regulation is not carried out.
Referring to fig. 1 to 6, the simulation flow of the simulation module is to calculate boundary assignment data, simulate the state conditions of all pipelines and nodes under the condition of current assignment for subsequent judgment and adjustment, and the under-voltage condition acquisition module is used for recording the under-voltage condition of the current simulation result, wherein the user with the lower pressure limit being lower than the user is an under-voltage user, the user with the lower pressure limit being higher than the user is an over-voltage user, and the recording result is used for the subsequent pressure adjustment module.
Referring to fig. 1 to fig. 6, the current pipe capacity judging and adjusting module is configured to judge whether available pipe capacities and storable pipe capacities in the pipe network at the current moment meet a normal state of the pipe network, and may be listed as follows:
;
wherein, AndThe minimum available pipe storage and the maximum available pipe storage of the normal operation of the pipe network respectively meet the requirements,I is the current time,The total amount is supplied to the air source end at the current moment i,The total demand of the user side at the current moment i,The pipe memory is available for the last moment i-1;
Is known to be ,,,,Is fixed and is used for the treatment of the skin,Is varied and can obtainJudging whether the current residual air quantity can be pressed into the residual storable Guan Rong or not and whether the current available total quantity meets the total quantity of the user side requirements at the current moment or not by utilizing the method;
setting the use of available pipe memory and available pipe capacity at each moment not to exceed rated coefficient Can be obtained;
The current pipe capacity judging and adjusting module judges whether the relation between the total air supply amount of the air source and the total user demand amount at the current moment is too different or not through real-time monitoring of the available pipe capacity and the storable pipe capacity at the last moment, if the current supply cannot meet the user demand, the air source supply is increased, if the current supply surplus cannot be pressed into the storable pipe capacity Guan Rong, the air source supply is reduced, and meanwhile, the rated coefficient is calculatedIs set up to ensure a relatively stable difference at a later time, limiting the supply variation of the gas source to a small adjustment interval.
Referring to fig. 1 to fig. 6, the cumulative pipe capacity judging and adjusting module is configured to judge whether available pipe storage and storable pipe capacity in the pipe network at the cumulative time accords with a normal state of the pipe network, and may be listed as follows:
is set up to ensure a relatively stable difference at a later time, limiting the supply variation of the gas source to a small adjustment interval.
Referring to fig. 1 to fig. 6, the cumulative pipe capacity judging and adjusting module is configured to judge whether available pipe storage and storable pipe capacity in the pipe network at the cumulative time accords with a normal state of the pipe network, and may be listed as follows:
;
wherein, AndThe minimum available pipe storage and the maximum available pipe storage of the normal operation of the pipe network respectively meet the following conditions,Is available pipe memory at time 0, i is the current time,The total amount is supplied to the air source end at the kth moment,The total amount of the demands of the user side at the kth moment,For the total supply of air source from time 1 to time i,The total user demand amount from the 1 st time to the i th time;
Is known to be Is fixed and is used for the treatment of the skin,Is varied and can obtain+The method is used for judging whether surplus air supply quantity of the air source at the accumulation moment overflows the storable pipe capacity or whether the available pipe capacity of the part with overlarge user demand meets the supply or not, if so, reducing the air source supply at the current moment, and if not, increasing the air source supply at the current moment;
The accumulated pipe capacity judging and adjusting module monitors the accumulated amount of the supply amount and the demand amount from the moment 0 to the current moment, an accumulated pipe capacity judging method is added on the basis of the moment pipe capacity judgment, and the accumulated change of the available pipe capacity and the storable pipe capacity at the calculated moment is monitored, so that the condition that the moment pipe capacity judgment is not more than the rated duty ratio coefficient but the accumulated pipe capacity excess judgment is not passed is effectively avoided, and the effect of integrally assigning and optimizing the direction to the controlled air source end is achieved.
Referring to fig. 1 to 6, the cumulative pipe capacity judging and adjusting module performs policy selection by judging whether the formula 1 or the formula 2 is satisfied, no operation is performed when the formula 1 or the formula 2 is satisfied, the air source end reduces the supply when the supply surplus is judged to be too large and the storable pipe capacity is not pressed in, the air source end increases the supply when the supply and the available pipe capacity are judged to still not satisfy the user requirements, and the tracing module can obtain the ratio of the flow of each user at each air source.
Referring to fig. 1 to 6, the flow of the pressure regulating module is that under-pressure and over-pressure conditions of users are obtained, corresponding air sources of each user are obtained through tracing, an air source list related to the under-pressure user is recorded as a, an air source list related to the over-pressure user is recorded as B, for the under-pressure condition, the flow and the pressure of air sources in the list a are increased, for the over-pressure condition, a difference between the list B and the list a is made to obtain a list C, the flow and the pressure of the air sources in the list C are reduced, and for setting of a regulating step size, the following formula is adopted:
;
the step is the adjustment step length, For a fixed ratio, left is the air source recovery quantity remaining,For the purpose of the amount of the wholesale,For the residual quantity duty ratio, in order to avoid the condition that the residual quantity duty ratio is small and the adjustment step is too small to cause ineffective adjustment, the residual quantity duty ratio is larger thanWhen the step length adjusting method which is changed along with the residual quantity is adopted, otherwise, use the fixingThe step length is dynamically adjusted according to the residual quantity.
Referring to fig. 1 to 6, the invention provides a method, a device, equipment and a medium for efficient and reliable bidirectional iterative self-adaptive regulation of a pipe network air source. The method performs resource scheduling on the pipe network through a bidirectional adjustment mechanism, self-adaptive step length and pipe capacity judgment. On the premise of meeting the lower limit of the pressure of a user, meeting the requirements of supply protection and the like, reasonably distributing resources and helping urban fuel enterprises to carry out resource fine management;
The invention provides a bi-directional air source regulating mechanism. The up-regulation and down-regulation logic of the pressure and flow of the air source is set according to the under-pressure condition of the user, so that the condition that the rated total amount is used up too early or the total amount of air source supply is too much due to the fact that the air supply amount is always increased in the supply-keeping peak regulation is effectively relieved, and a pipe capacity judging mechanism is provided in the embodiment. Deducing and constructing flow constraint relations of available pipe storage, compressible pipe capacity, user demand and air source supply from a formula angle based on moment pipe capacity and accumulated pipe capacity respectively, effectively solving the conversion problem of energy storage and supply in energy storage technology peak regulation, and enabling the whole peak regulation schedule to be more fit with the pipe network state in a real scene;
The embodiment provides a self-adaptive step length adjusting mechanism, which comprises a memory enhancing mechanism and a recovery quantity residual monitoring mechanism, and is used for dynamically adjusting the step length of the air source, so that the problem of poor effect caused by the hardness adjustment of a single step length is effectively relieved, and the possibility that the result approaches to an ideal condition is effectively improved by a fine adjusting mode brought by the self-adaptive step length adjusting operation.
The air source bidirectional regulating mechanism effectively relieves the condition that rated total amount is used up too early or the total amount of air source supply is too much in the peak regulation of the reserved supply because the air supply amount is always increased, the pipe capacity judging mechanism is divided into a time pipe capacity and an accumulated pipe capacity, the flow constraint relation of available pipe capacity, compressible pipe capacity, user demand and air source supply is deduced and constructed from the angle of a formula, the problem of conversion of energy storage and supply in the peak regulation of an energy storage technology is effectively solved, the whole peak regulation is enabled to be more fit with the pipe network state in a real scene, the self-adaptive step regulating mechanism comprises a memory enhancing mechanism and a recovery residual monitoring mechanism, the memory enhancing mechanism and the recovery residual monitoring mechanism respectively dynamically regulate the air source in the pipe capacity judging and the pressure judging, the problem of poor effect caused by single step hardening regulation is effectively relieved, and the fine regulating mode brought by the method effectively improves the possibility that the result approaches to the ideal situation.
In addition, the embodiment also provides a bidirectional iteration self-adaptive adjusting device for the pipe network air source, which comprises a simulation module, an under-voltage condition acquisition module, a current pipe capacity judging and adjusting module, an accumulated pipe capacity judging and adjusting module and a tracing module, wherein the simulation module calculates boundary assignment data, simulates state conditions of all pipes and nodes under the condition of current assignment, the under-voltage condition acquisition module records the under-voltage condition of the current simulation result, the current pipe capacity judging and adjusting module is used for judging whether available pipe storage and available pipe capacity in the pipe network at the current moment accords with the normal state of the pipe network, and the accumulated pipe capacity judging and adjusting module is used for judging whether available pipe storage and available pipe capacity in the pipe network at the accumulated moment accords with the normal state of the pipe network.
The embodiment also provides a pipe network air source bidirectional iteration self-adaptive adjusting device, which comprises a computer, wherein a memory for storing a control program is arranged on the computer, and the computer is used for executing the computer program so as to realize the pipe network air source bidirectional iteration self-adaptive adjusting method.
Embodiment 2. The embodiment provides a high-efficiency and reliable pipe network air source bidirectional iteration self-adaptive adjusting method, device, equipment and medium. The method performs resource scheduling on the pipe network through a bidirectional adjustment mechanism, self-adaptive step length and pipe capacity judgment. On the premise of meeting the lower limit of the pressure of the user, meeting the requirements of supply protection and the like, the resource allocation is reasonably carried out, and the urban fuel enterprises are helped to carry out resource fine management.
The following technical problems can be solved by using the embodiment:
1. A bi-directional regulation mechanism for air source is disclosed. Setting up and down regulation logics of pressure and flow of the air source according to the under-pressure condition of a user, and effectively relieving the condition that the rated total amount is used up too early or the total amount of air source supply is too much in the guaranteed supply peak regulation because the air supply amount is always increased;
2. a pipe capacity judging mechanism is provided. Deducing and constructing flow constraint relations of available pipe storage, compressible pipe capacity, user demand and air source supply from a formula angle based on moment pipe capacity and accumulated pipe capacity respectively, effectively solving the conversion problem of energy storage and supply in energy storage technology peak regulation, and enabling the whole peak regulation schedule to be more fit with the pipe network state in a real scene;
3. The self-adaptive step length adjusting mechanism comprises a memory enhancing mechanism and a recovery residual monitoring mechanism, and is used for dynamically adjusting the step length of the air source, so that the problem of poor effect caused by the hardness adjustment of a single step length is effectively solved, and the possibility that the result approaches to an ideal condition is effectively improved by a fine adjusting mode brought by the self-adaptive step length adjusting operation.
The scheme of the invention is that as shown in fig. 2, the main flow architecture of the invention is shown, and the main flow architecture mainly comprises a simulation module, an under-voltage condition acquisition module, a current pipe capacity judging and adjusting module 1, an accumulated pipe capacity judging and adjusting module 2, a tracing module and a pressure adjusting module. After the boundary assignment data obtain the calculation value data of all pipeline nodes through the simulation module, the calculation value data is subjected to time pipe capacity judgment and adjustment, accumulated pipe capacity judgment and adjustment and undervoltage adjustment, and the result after adjustment is simulated again and is repeated for a plurality of times. It should be noted that, the three judgments have obvious precedence relationship, and if one judgment does not meet the judgment requirement, the adjustment is directly performed, and the subsequent judgment adjustment is not performed.
2.2.1 Simulation module
The simulation module is used for calculating boundary assignment data and simulating the state conditions of all pipelines and nodes under the current assignment condition for subsequent judgment and adjustment.
2.2.2 Acquiring an under-voltage condition
The module for acquiring the under-voltage condition is mainly used for recording the under-voltage condition aiming at the current simulation result. In the invention, the users below the lower limit of the user pressure are under-voltage users, and the users above the lower limit of the user pressure are over-voltage users by 10 percent. This part is mainly used for the subsequent pressure judging and adjusting module.
2.2.3 Pipe capacity judging module at current moment
The module is used for judging whether available pipe storage and storable pipe capacity in the pipe network at the current moment accord with the normal state of the pipe network. The following are listed:
;
wherein, AndThe minimum available pipe storage and the maximum available pipe storage of the normal operation of the pipe network respectively meet the following conditionsI is the current time,The total amount is supplied to the air source end at the current moment i,The total demand of the user side at the current moment i,The pipe is available for the last time i-1.
Is known to beIs fixed and is used for the treatment of the skin,Is varied and can obtain. The method aims at judging whether the current residual air quantity (total air source end supply quantity-total user end demand quantity) can be pressed into the residual storable Guan Rong and whether the current available total quantity (available pipe memory at the last moment and total air source end supply quantity at the current moment) meets the total user end demand quantity at the current moment.
This is unreasonable considering that there may be a situation where all available pipe memory and storable pipe capacity is used up at a certain time, while also seriously affecting the successful scheduling of resources at a later time. For this purpose, provision is made for the use of the available pipe store and the storable pipe volume per moment of time not to exceed the nominal factorCan be obtained
The current time pipe capacity judging module judges whether the relation between the total air supply amount of the air source and the total user demand amount at the current time is too far apart or not through real-time monitoring of the available pipe capacity and the available pipe capacity at the last time, if the current supply cannot meet the user demand, the air source supply is increased, if the surplus of the current supply cannot be pressed into the available pipe capacity Guan Rong, the air source supply is reduced, and meanwhile, the rated coefficient is calculatedThe setting of the device ensures the relative stability of the difference at the subsequent moment, and the change of the air source supply quantity is restrained in a smaller adjustment interval, thereby being beneficial to the gradual and reasonable optimization of the assignment of the air source end.
2.2.4 Accumulated pipe capacity judging module
The module is used for judging whether available pipe storage and storable pipe capacity in the pipe network at the accumulated moment accord with the normal state of the pipe network. The following are listed:;
wherein, AndThe minimum available pipe storage and the maximum available pipe storage of the normal operation of the pipe network respectively meet the following conditions,The available pipe is stored for time 0. i is the current time of day and,The total amount is supplied to the air source end at the kth moment,The total amount of the demands of the user side at the kth moment,For the total supply of air source from time 1 to time i,The total amount of user demands from the 1 st time to the i th time.
Is known to beIs fixed and is used for the treatment of the skin,Is varied and can obtain+. The method aims at judging whether the surplus part of the air supply quantity of the air source at the accumulated moment overflows the storable pipe capacity or whether the available pipe capacity of the part with overlarge user demand meets the supply or not, if so, the air source supply is reduced at the current moment, and if not, the air source supply is increased at the current moment.
The accumulated pipe capacity judging module monitors the accumulated amount of the supply amount and the demand amount from the moment 0 to the current moment, and adds an accumulated pipe capacity judging method based on the moment pipe capacity judgment to monitor the accumulated change of the available pipe capacity and the storable pipe capacity at the calculated moment, thereby effectively avoiding the occurrence of the condition that the moment pipe capacity judgment meets the rated duty ratio coefficient but the accumulated pipe capacity excess judgment is not passed, and playing the role of integrally assigning the control air source end with the optimized direction.
2.2.5 Tube capacity judging and adjusting module based on memory enhancement
As shown in fig. 3, a tube capacity determination adjustment module is illustrated. When the pipe capacity is judged to meet the continuous inequality (formula 1 or formula 2), no operation is performed, when the supply surplus is judged to be too large, the pressure-in pipe capacity can not be pressed in, the air source end reduces the supply, and when the supply and the available pipe capacity are judged to still not meet the user requirement, the air source end increases the supply. The increase or decrease of the supply is controlled by a fixed percentage step based on the initial pressure or flow value, however, in subsequent experiments it was found that the supply of the air source cannot always be regulated to meet the continuous inequality in a limited small number of regulation times, and therefore the invention proposes a memory enhancing module. Taking the moment tube capacity judgment as an example, the requirement of the method is satisfiedAs shown in table 1, in the case of the first four adjustments, if the supply amount is decreased by 4, the adjustment is required for about 9 times in total, and the adjustment process is found to be long and inefficient. The memory enhancing module records the same condition of unsatisfied continuous inequality under the current time, fits the relation of supply quantity changing along with the adjusting times after four times of recording, pre-estimates the supply quantity result under more adjusting times in advance, and skips the gradual adjusting process of intermediate redundancy to directly finish the 9 th adjustment. The tube capacity judging and adjusting module based on memory enhancement can greatly reduce the number of tube capacity judging and adjusting times, and an optimal adjusting scheme can be more efficiently found.
2.2.6 Tracing module
The tracing module can obtain the duty ratio of the flow of each user at each air source, and can be understood as the action range of each air source on the user.
2.2.7 Pressure judging and adjusting module based on recovery quantity residual monitoring
FIG. 4 is a flow chart of a pressure determination adjustment module. Under-pressure and over-pressure conditions of users are obtained in 2.2.2, and the corresponding air source of each user can be obtained through tracing in 2.2.6. And recording an air source list related to the under-pressure user as A, recording an air source list related to the over-pressure user as B, increasing the flow and the pressure of the air sources in the list A under the under-pressure condition, and obtaining a list C by making a difference between the list B and the list A under the over-pressure condition, and reducing the flow and the pressure of the air sources in the list C. For setting the step length, the invention adopts a mode of combining fixed proportion and the rest proportion of the batch quantity.
;
The step is the adjustment step length,For a fixed ratio, left is the air source recovery quantity remaining,For the purpose of the amount of the wholesale,For the residual amount duty ratio, the step length is continuously adjusted along with the residual change of the batch, and the step length is smaller as the residual amount is always kept larger regardless of the under-pressure increasing supply or the over-pressure decreasing supply. In addition, in order to avoid the condition that the residual quantity is too small to cause the too small adjustment step length to cause ineffective adjustment, the invention has the advantages that the residual quantity is larger than the residual quantityWhen the step length adjusting method which is changed along with the residual quantity is adopted, otherwise, use the fixingIs used for adjusting the mode of the device. According to the dynamic adjustment step length of the residual quantity, the adjustment degree of the limited resources in different periods is changed, and the flow management from the resource side is facilitated.
Example 3:
Referring to fig. 5, the embodiment provides a bidirectional iterative adaptive adjusting device for pipe network air sources, which comprises a simulation module, an under-voltage condition acquisition module, a current pipe capacity judging and adjusting module, an accumulated pipe capacity judging and adjusting module and a tracing module, wherein the simulation module calculates boundary assignment data, simulates the state conditions of all pipes and nodes under the condition of current assignment, the under-voltage condition acquisition module records the under-voltage condition of the current simulation result, the current pipe capacity judging and adjusting module is used for judging whether available pipe storages and storable pipe capacities in the pipe network at the current moment accord with the normal state of the pipe network, the accumulated pipe capacity judging and adjusting module is used for judging whether available pipe storages and storable pipe capacities in the pipe network at the accumulated moment accord with the normal state of the pipe network, the tracing module can obtain the ratio of flow of each user at each air source and can be understood as the action range of each air source to the user, the pressure adjusting module is a main component participating in flow adjustment, and the bidirectional iterative adaptive adjusting device for the pipe network air sources can be realized.
Example 4:
Referring to fig. 6, the embodiment provides a bidirectional iterative adaptive regulation device for a pipe network air source, which comprises a computer, wherein the computer is an operation center, a memory for storing a control program is arranged on the computer, the memory can be an internal memory or a memory of an external server, the memory is mainly used for storing the program of the computer and executing the computer program to realize the bidirectional iterative adaptive regulation method for the pipe network air source, and a plurality of interface devices are further arranged on the computer to facilitate external connection.
Example 5:
the embodiment provides a computer readable storage medium for storing a computer program, wherein the steady-state traceability monitoring and analyzing method of the natural gas pipe network is realized when the computer program is executed by a processor.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (9)

1.管网气源双向迭代自适应调节方法,其特征在于:采用仿真模块、欠压情况获取模块、当前管容判断和调节模块、累积管容判断和调节模块、溯源模块、压力调节模块作为调节系统架构;将边界赋值数据经由仿真模块得到所有管道节点的算值数据后,经过时刻管容判断和调节模块、累积管容判断和调节模块以及欠压调节模块进行调节,将调节之后的结果再次进行仿真,循环往复若干次,凡是有一次不满足判断要求,则直接进行调节,不再进行后续的判断调节;1. A two-way iterative adaptive regulation method for a gas source in a pipeline network, characterized in that: a simulation module, an underpressure condition acquisition module, a current pipe capacity judgment and regulation module, a cumulative pipe capacity judgment and regulation module, a traceability module, and a pressure regulation module are used as the regulation system architecture; after the boundary assignment data is obtained through the simulation module, the calculated value data of all pipeline nodes are adjusted through the momentary pipe capacity judgment and regulation module, the cumulative pipe capacity judgment and regulation module, and the underpressure regulation module, and the result after adjustment is simulated again, and the cycle is repeated several times. If the judgment requirement is not met once, the adjustment is directly performed without subsequent judgment and adjustment; 所述当前管容判断和调节模块用于判断当前时刻管网中可用管存和可存管容是否符合管网正常状态,可列:The current pipe capacity judgment and adjustment module is used to judge whether the available pipe storage and available pipe capacity in the pipe network at the current moment meet the normal state of the pipe network, which can be listed as follows: ; 其中,分别为管网正常运行的最小可用管存和最大可用管存,满足,i为当前时刻,为当前i时刻气源端供给总量,为当前i时刻用户端需求总量,为上一时刻i-1可用管存;in, and are the minimum and maximum available pipe storage for normal operation of the pipe network, respectively, to meet , i is the current moment, is the total amount of gas supply at the current moment i, is the total user demand at the current time i, The available storage at the previous moment i-1; 已知是固定的,是变化的,可得Known , , , , is fixed, It is variable, ,用该式判断当前剩余气量是否可压入剩余可存管容、当前可用总量是否满足当前时刻用户端需求总量; , use this formula to judge whether the current remaining gas volume can be pressed into the remaining storage capacity, and whether the current available total volume can meet the total volume demanded by the user at the current moment; 设置每时刻对可用管存和可存管容的使用不得超过额定系数,可得Set the usage of available storage and storage capacity at any time not to exceed the rated coefficient , can be obtained ; 其中当前管容判断和调节模块通过对上一时刻可用管存和可存管容的实时监控,判断当前时刻气源供气总量和用户需求总量之间的关系是否过于悬殊,若当前供应无法满足用户需求,则增加气源供应,若当前供应盈余无法压入可存管容,则减少气源供应,同时额定系数的设立确保后续时刻差额的相对稳定,将气源供应量变化约束在一个较小的调整区间。The current pipe capacity judgment and adjustment module determines whether the relationship between the total gas supply and the total user demand is too large through real-time monitoring of the available pipe storage and the available pipe capacity at the previous moment. If the current supply cannot meet the user demand, the gas supply will be increased. If the current supply surplus cannot be squeezed into the available pipe capacity, the gas supply will be reduced. At the same time, the rated coefficient The establishment of the system ensures the relative stability of the difference at subsequent times and constrains the changes in gas supply within a smaller adjustment range. 2.根据权利要求1所述的管网气源双向迭代自适应调节方法,其特征在于:所述仿真模块的仿真流程为:对边界赋值数据进行计算,模拟出当下赋值情况下所有管道、节点的状态情况,用于后续判断以及调节之用。2. The bidirectional iterative adaptive adjustment method for pipeline gas sources according to claim 1 is characterized in that the simulation process of the simulation module is: calculating the boundary assignment data, simulating the status of all pipelines and nodes under the current assignment conditions, for subsequent judgment and adjustment. 3.根据权利要求1所述的管网气源双向迭代自适应调节方法,其特征在于:所述欠压情况获取模块用于对当前仿真结果进行欠压情况的记录,其中低于用户压力下限者为欠压用户,高于用户压力下限10%者为超压用户,并将记录结果用于后续压力调节模块。3. According to the bidirectional iterative adaptive regulation method for pipeline gas source in claim 1, it is characterized in that: the underpressure situation acquisition module is used to record the underpressure situation of the current simulation result, among which those below the user pressure lower limit are underpressure users, and those above the user pressure lower limit by 10% are overpressure users, and the recorded results are used for the subsequent pressure regulation module. 4.根据权利要求1所述的管网气源双向迭代自适应调节方法,其特征在于:所述累积管容判断和调节模块用于判断累积时刻管网中可用管存和可存管容是否符合管网正常状态,可列:4. The method for bidirectional iterative adaptive regulation of pipeline gas sources according to claim 1 is characterized in that: the cumulative pipe capacity judgment and regulation module is used to judge whether the available pipe storage and storable pipe capacity in the pipeline network at the accumulation time meet the normal state of the pipeline network, and can list: ; 其中,分别为管网正常运行的最小可用管存和最大可用管存,满足为第0时刻可用管存,i为当前时刻,为第k时刻气源端供给总量,为第k时刻用户端需求总量,为从第1时刻到第i时刻气源供给总量,为从第1时刻到第i时刻用户需求总量;in, and are the minimum and maximum available pipe storage for normal operation of the pipe network, respectively, to meet , is the available storage at time 0, i is the current time, is the total amount of gas supply at the kth moment, is the total user demand at the kth moment, is the total gas supply from moment 1 to moment i, is the total user demand from moment 1 to moment i; 已知是固定的,是变化的,可得+,该式用于判断累积时刻的气源供气量盈余的部分是否已溢出可存管容或用户需求量过大的部分可用管存是否满足供应,若溢出,则在当前时刻减少气源供应,若无法满足供应,则在当前时刻增加气源供应;Known , , , , is fixed, It is variable, + This formula is used to determine whether the surplus gas supply at the cumulative moment has overflowed the available storage capacity or whether the available storage capacity of the excessive user demand can meet the supply. If it overflows, the gas supply will be reduced at the current moment. If it cannot meet the supply, the gas supply will be increased at the current moment. 所述累积管容判断和调节模块对从0时刻到当前时刻的供应量、需求量的累积量监控,在时刻管容判断的基础上,增加累积管容判断方法,对已计算时刻下可用管存和可存管容的累积变化进行监控,有效地避免了时刻管容判断通过满足不超过额定占比系数但累积管容超额判断不通过的情况发生,起到了整体把控气源端赋值优化方向的作用。The cumulative pipe capacity judgment and adjustment module monitors the cumulative amount of supply and demand from time 0 to the current time, and adds a cumulative pipe capacity judgment method based on the momentary pipe capacity judgment to monitor the cumulative changes of available pipe storage and storable pipe capacity at the calculated time, effectively avoiding the situation where the momentary pipe capacity judgment meets the requirement of not exceeding the rated proportion coefficient but the cumulative pipe capacity excess judgment fails, and plays a role in overall controlling the optimization direction of the gas source end assignment. 5.根据权利要求4所述的管网气源双向迭代自适应调节方法,其特征在于:所述累积管容判断和调节模块通过判断是否满足公式1或公式2时进行策略选择,当满足公式1或公式2时则无操作,当判断供应盈余过大不可压入可存管容时,则气源端减少供给,当判断供给和可用管存依旧不满足用户需求,则气源端增加供给;所述溯源模块可获得每一个用户的流量在各个气源处的占比。5. The bidirectional iterative adaptive adjustment method for pipeline gas sources according to claim 4 is characterized in that: the cumulative pipe capacity judgment and adjustment module selects a strategy by judging whether Formula 1 or Formula 2 is satisfied. When Formula 1 or Formula 2 is satisfied, no operation is performed. When it is judged that the supply surplus is too large to be pressed into the available pipe capacity, the gas source end reduces the supply. When it is judged that the supply and available pipe storage still cannot meet user needs, the gas source end increases the supply. The traceability module can obtain the proportion of each user's flow at each gas source. 6.根据权利要求5所述的管网气源双向迭代自适应调节方法,其特征在于:所述压力调节模块的流程为:获得用户欠压和超压情况,通过溯源获得每个用户对应的气源,记欠压用户涉及的气源列表为A,超压用户涉及的气源列表为B,对于欠压情况,增加列表A中的气源的流量和压力,对于超压情况,列表B与列表A做差集获得列表C,降低列表C中的气源的流量和压力,对于调节步长step的设置,采用下式:6. The method for bidirectional iterative adaptive regulation of pipeline gas sources according to claim 5 is characterized in that: the process of the pressure regulation module is: obtaining the underpressure and overpressure conditions of the user, obtaining the gas source corresponding to each user by tracing the source, recording the gas source list involved in the underpressure user as A, and the gas source list involved in the overpressure user as B, for the underpressure condition, increasing the flow and pressure of the gas source in list A, for the overpressure condition, making a difference between list B and list A to obtain list C, reducing the flow and pressure of the gas source in list C, and for the setting of the adjustment step step, the following formula is used: ; 上式step为调节步长,为固定比例,left为气源批复量剩余,为批复量,为剩余量占比,为避免出现剩余量占比很小导致调节步长过小引发无效调节的情况,在剩余量占比大于时采用随剩余量变化的步长调节方法,反之则使用固定的调节方式,根据剩余量动态调节步长。The step in the above formula is the adjustment step length. is a fixed ratio, left is the remaining approved amount of gas source, For the approval amount, is the proportion of the remaining amount. To avoid the situation where the remaining amount is too small and the adjustment step is too small, causing invalid adjustment, when the remaining amount is greater than When the step size is changed according to the residual amount, the fixed step size is used. The step size is adjusted dynamically according to the remaining amount. 7.管网气源双向迭代自适应调节装置,其特征在于:包括:7. A two-way iterative adaptive regulating device for a gas source in a pipe network, characterized in that it includes: 仿真模块,所述仿真模块对边界赋值数据进行计算,模拟出当下赋值情况下所有管道、节点的状态情况;A simulation module, which calculates the boundary assignment data and simulates the status of all pipelines and nodes under the current assignment; 欠压情况获取模块,所述欠压情况获取模块对当前仿真结果进行欠压情况的记录;An undervoltage condition acquisition module, which records the undervoltage condition of the current simulation result; 当前管容判断和调节模块,所述当前管容判断和调节模块用于判断当前时刻管网中可用管存和可存管容是否符合管网正常状态;A current pipe capacity judgment and adjustment module, which is used to judge whether the available pipe storage and storable pipe capacity in the pipe network at the current moment meet the normal state of the pipe network; 累积管容判断和调节模块,所述累积管容判断和调节模块用于判断累积时刻管网中可用管存和可存管容是否符合管网正常状态;A cumulative pipe capacity judgment and adjustment module, which is used to judge whether the available pipe storage and storable pipe capacity in the pipe network at the accumulation time meet the normal state of the pipe network; 以及包括溯源模块、压力调节模块。And includes traceability module and pressure regulation module. 8.管网气源双向迭代自适应调节设备,其特征在于:包括计算机,所述计算机上设置有用于存储控制程序的存储器,所述计算机用于执行计算机程序,以实现如权利要求1至6任一项所述的管网气源双向迭代自适应调节方法。8. A bidirectional iterative adaptive regulation device for a pipeline gas source, characterized in that it comprises a computer, wherein a memory for storing a control program is provided on the computer, and the computer is used to execute the computer program to implement the bidirectional iterative adaptive regulation method for a pipeline gas source as described in any one of claims 1 to 6. 9.计算机可读存储介质,其特征在于:用于保存计算机程序;其中,所述计算机程序被处理器执行时实现如权利要求1至6任一项所述的管网气源双向迭代自适应调节方法。9. A computer-readable storage medium, characterized in that it is used to store a computer program; wherein, when the computer program is executed by a processor, the pipeline network gas source bidirectional iterative adaptive regulation method as described in any one of claims 1 to 6 is implemented.
CN202411601917.7A 2024-11-11 2024-11-11 Bidirectional iteration self-adaptive adjusting method, device, equipment and medium for pipe network air source Active CN119084825B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202411601917.7A CN119084825B (en) 2024-11-11 2024-11-11 Bidirectional iteration self-adaptive adjusting method, device, equipment and medium for pipe network air source

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202411601917.7A CN119084825B (en) 2024-11-11 2024-11-11 Bidirectional iteration self-adaptive adjusting method, device, equipment and medium for pipe network air source

Publications (2)

Publication Number Publication Date
CN119084825A true CN119084825A (en) 2024-12-06
CN119084825B CN119084825B (en) 2025-01-24

Family

ID=93668473

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202411601917.7A Active CN119084825B (en) 2024-11-11 2024-11-11 Bidirectional iteration self-adaptive adjusting method, device, equipment and medium for pipe network air source

Country Status (1)

Country Link
CN (1) CN119084825B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119760620A (en) * 2025-03-07 2025-04-04 上海叁零肆零科技有限公司 Abnormal flow data positioning method, medium and electronic equipment in pipe network transient simulation

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11126102A (en) * 1997-10-23 1999-05-11 Nkk Corp How to forecast gas demand
CN101763105A (en) * 2010-01-07 2010-06-30 冶金自动化研究设计院 Self-adaptation selectable constrained gas optimizing dispatching system and method for steel enterprises
US20230351276A1 (en) * 2023-04-17 2023-11-02 Chengdu Qinchuan Iot Technology Co., Ltd. Method, internet of things system and medium for smart gas maintenance management order dispatch warning
US20230359965A1 (en) * 2022-05-07 2023-11-09 Chengdu Puhuidao Smart Energy Technology Co., Ltd. Methods, internet of things (iot) systems, and media for dynamically adjusting lng storage based on big data
WO2024138659A1 (en) * 2022-12-30 2024-07-04 成都秦川物联网科技股份有限公司 Calorific value of gas based smart self-adaptive gas pressure regulation method and internet of things system
CN118863310A (en) * 2024-01-03 2024-10-29 河北省天然气有限责任公司 A natural gas pipeline network gas source resource peak regulation method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11126102A (en) * 1997-10-23 1999-05-11 Nkk Corp How to forecast gas demand
CN101763105A (en) * 2010-01-07 2010-06-30 冶金自动化研究设计院 Self-adaptation selectable constrained gas optimizing dispatching system and method for steel enterprises
US20230359965A1 (en) * 2022-05-07 2023-11-09 Chengdu Puhuidao Smart Energy Technology Co., Ltd. Methods, internet of things (iot) systems, and media for dynamically adjusting lng storage based on big data
WO2024138659A1 (en) * 2022-12-30 2024-07-04 成都秦川物联网科技股份有限公司 Calorific value of gas based smart self-adaptive gas pressure regulation method and internet of things system
US20230351276A1 (en) * 2023-04-17 2023-11-02 Chengdu Qinchuan Iot Technology Co., Ltd. Method, internet of things system and medium for smart gas maintenance management order dispatch warning
CN118863310A (en) * 2024-01-03 2024-10-29 河北省天然气有限责任公司 A natural gas pipeline network gas source resource peak regulation method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
宋军: "钢铁企业煤气系统动态预测与优化调配研究" *
范云鹏;毛平平;朱明;刘少山;: "输气管道季节调峰措施", 油气田地面工程, no. 05, 20 May 2015 (2015-05-20), pages 10 - 11 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119760620A (en) * 2025-03-07 2025-04-04 上海叁零肆零科技有限公司 Abnormal flow data positioning method, medium and electronic equipment in pipe network transient simulation

Also Published As

Publication number Publication date
CN119084825B (en) 2025-01-24

Similar Documents

Publication Publication Date Title
CN110288152B (en) Regional comprehensive energy system energy storage configuration method considering electric/thermal flexible load
CN110829408B (en) Multi-domain scheduling method considering energy storage power system based on power generation cost constraint
CN115036963B (en) Two-stage demand response strategy for improving toughness of power distribution network
CN104505864B (en) Demand response control strategy analogue system and method for distributed power generation of dissolving
CN109473972A (en) Source-load-storage optimal control method based on multi-power curve co-integration
CN112434861B (en) Electric heating coordination optimization scheduling method and device considering feedback adjustment of heating power pipe network
CN119084825B (en) Bidirectional iteration self-adaptive adjusting method, device, equipment and medium for pipe network air source
CN103956773B (en) Backup configuration optimization method containing wind power system unit
CN103219751A (en) Control method of active power of clustered wind power plants
CN109713713B (en) A stochastic optimization method for unit start-stop based on chance-constrained convex relaxation
CN111509738A (en) Electric heating microgrid source-load-storage coordinated smoothing tie line power method and system
CN116341881A (en) Robust advanced scheduling method and system for electric-thermal system considering flexibility of heat supply network
CN116518524B (en) Air conditioner load adjustable capacity assessment and response method considering user comfort level
CN112749843A (en) Virtual power plant controllable heat load scheduling method for regional power grid new energy consumption
CN113656988A (en) Optimization method for improving wind power consumption energy storage power
CN109066769A (en) Wind-powered electricity generation, which totally disappeared, receives lower virtual plant internal resource dispatch control method
CN113221330A (en) Electric power standby market clearing method and system considering new energy participation
CN107273673B (en) Air conditioner water chiller group control method considering stabilizing wind power fluctuation
CN118461069A (en) Start-stop regulation method, device, electronic equipment and storage medium for a train-type hydrogen production system
CN113240279B (en) Comprehensive energy system operation control method and system based on comprehensive demand side response
CN112952870B (en) Electric energy distribution method and device based on substation operation and maintenance monitoring platform
CN116454996A (en) Hydropower station real-time load distribution method based on deep reinforcement learning
CN116191577A (en) A multi-time-scale reactive power optimization method for regional power grids involving multiple power sources
CN116632935A (en) A Balancing Unit Based Power System Balance Optimization Method
CN115207906A (en) Multi-time scale scheduling method considering high energy-carrying load to participate in regulation and control

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant