CN110994699A - An energy storage configuration method and system supporting distributed power consumption in smart parks - Google Patents
An energy storage configuration method and system supporting distributed power consumption in smart parks Download PDFInfo
- Publication number
- CN110994699A CN110994699A CN201911314027.7A CN201911314027A CN110994699A CN 110994699 A CN110994699 A CN 110994699A CN 201911314027 A CN201911314027 A CN 201911314027A CN 110994699 A CN110994699 A CN 110994699A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- distributed power
- demand
- group
- current moment
- 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.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides an energy storage configuration method for supporting consumption of distributed power supplies of an intelligent park, which comprises the following steps: acquiring actual output of distributed power generation at the current moment, an actual value of demand side load power and a pre-calculated assumed output of distributed power generation at the current moment and an ideal predicted value of demand side load power; obtaining a distributed power supply output error at the current moment based on the actual distributed power supply output and the assumed distributed power supply output at the current moment, and obtaining a demand side load power error at the current moment based on the actual demand side load power value and the ideal demand side load power predicted value at the current moment; when the output error of the distributed power supply is larger than a first set threshold value, the output error of the distributed power supply at the current moment is absorbed based on an energy storage distributed power supply absorption group; and when the demand side load power error is larger than a second set threshold value, the demand side load power error at the current moment is absorbed based on the energy storage demand side resource group. The power can be balanced in a stepwise manner.
Description
Technical Field
The invention belongs to the technical field of combination of planning and scheduling of an electric power system and demand side management, and particularly relates to an energy storage configuration method and system for supporting consumption of distributed power supplies of an intelligent park.
Background
At present, the application of the distributed power supply consumption scenes in the intelligent park at home and abroad is less, and a certain error still exists in the utilization of demand response and the power grid support distributed power supply consumption at present due to the problems of the output prediction technology and the uncertainty of demand side resource response in the distributed power supply consumption during the actual execution process. This phenomenon not only results in incomplete distributed power supply consumption, but also forces the grid to add additional expense for increasing the power balance caused by the error section. The development of the existing energy storage technology is mature, a new solution is provided for the consumption of the distributed power supply, and the specific energy storage technology such as the configuration of energy storage resources still needs to be further discussed.
Disclosure of Invention
Aiming at the defects that a certain power imbalance prediction error still exists in the existing demand response and power grid support distributed power supply consumption and the power grid is forced to increase extra expenses, the invention provides an energy storage configuration method for supporting intelligent park distributed power supply consumption, which comprises the following specific steps:
acquiring actual output of distributed power generation at the current moment, an actual value of demand side load power and a pre-calculated assumed output of distributed power generation at the current moment and an ideal predicted value of demand side load power;
obtaining a distributed power supply output error at the current moment based on the distributed power supply actual output and the distributed power supply assumed output at the current moment, and obtaining a demand side load power error at the current moment based on the demand side load power actual value and the demand side load power ideal predicted value at the current moment;
when the distributed power output error is larger than a first set threshold value: carrying out step elimination on the output error of the distributed power supply at the current moment based on an energy storage distributed power supply elimination group;
when the power error of the demand side load is larger than a second set threshold: and carrying out step absorption on the demand side load power error at the current moment based on the energy storage demand side resource group.
Preferably, the energy storage distributed power consumption group includes:
and dividing the energy storage distributed power supply absorption components into a distributed power supply fast regulation and control energy storage group and a distributed power supply common regulation and control energy storage group based on a preset value of the charging speed of the energy storage distributed power supply absorption group.
Preferably, when the distributed power output error is greater than a first set threshold: based on the energy storage distributed power supply absorption group, the step absorption is carried out on the distributed power supply output error at the current moment, and the method comprises the following steps:
on the basis of the premise that the charging rule and the charging and discharging capacity of the energy storage distributed power supply absorption group do not reach the upper limit and the lower limit, the output error of the distributed power supply at the current moment is absorbed in real time, the power transmission of the energy storage distributed power supply absorption group to a power grid is stopped, and the absorption capacity of the energy storage distributed power supply absorption group in the energy storage charging process is restrained and calculated;
wherein the charging rules of the energy storage distributed power supply consumption group comprise: and preferentially regulating the distributed power supply fast regulation and control energy storage group to the distributed power supply common regulation and control energy storage group at the current moment in a positive sequence mode, and updating the energy storage device groups of the energy storage distributed power supply absorption group at the next moment.
Preferably, the energy storage demand side resource group includes:
and dividing the energy storage demand side resource group into a demand side fast regulation and control energy storage group and a demand side common regulation and control energy storage group based on the preset value of the discharge speed of the energy storage demand side resource group.
Preferably, when the demand side load power error is greater than a second set threshold: based on the energy storage demand side resource group, the step consumption is carried out on the demand side load power error at the current moment, and the method comprises the following steps:
on the basis of the premise that the discharge rule and the charge-discharge capacity of the energy storage demand side resource group do not reach the upper limit and the lower limit, the demand side load power error at the current moment is consumed in real time, the charging is stopped, the energy supply for discharging is started to the power grid, and the technical output of the demand side fast regulation and control energy storage group and the demand side common regulation and control energy storage group is restrained and calculated;
the discharging rule of the energy storage demand side resource group comprises the following steps: and preferentially regulating and controlling the common regulation and control energy storage group at the demand side to the quick regulation and control energy storage group at the demand side in a positive sequence mode at the current moment, and updating the energy storage device groups of the energy storage demand side resource group at the next moment.
Preferably, the method further comprises:
and acquiring the actual output of the distributed power generation at the next moment, the actual value of the load power at the demand side and the pre-calculated assumed output of the distributed power generation at the next moment and the ideal predicted value of the load power at the demand side, and updating the output error of the distributed power and the load power error at the demand side.
Based on the same invention concept, the invention provides an energy storage configuration system for supporting the consumption of distributed power supplies of an intelligent park, which comprises:
the system comprises an acquisition module, an error module, a distributed power consumption module and a demand side consumption module;
the acquisition module is used for acquiring the actual output of the distributed power generation at the current moment, the actual value of the load power at the demand side, and the pre-calculated assumed output of the distributed power generation at the current moment and the ideal predicted value of the load power at the demand side;
the error module is used for obtaining a distributed power supply output error at the current moment based on the distributed power supply actual output and the distributed power supply assumed output at the current moment, and obtaining a demand side load power error at the current moment based on the demand side load power actual value and the demand side load power ideal predicted value at the current moment;
the distributed power supply absorption module is used for, when the distributed power supply output error is larger than a first set threshold value: carrying out step elimination on the output error of the distributed power supply at the current moment based on an energy storage distributed power supply elimination group;
the demand side absorption module is used for, when the demand side load power error is larger than a second set threshold: carrying out step absorption on the demand side load power error at the current moment based on the energy storage demand side resource group;
the energy storage distributed power supply absorption group comprises a distributed power supply fast regulation and control energy storage group and a distributed power supply common regulation and control energy storage group based on a preset value of the charging speed of the energy storage distributed power supply absorption group;
and based on the preset value of the discharge speed of the energy storage demand side resource group, the energy storage demand side resource group is divided into a demand side fast regulation and control energy storage group and a demand side common regulation and control energy storage group.
Preferably, the distributed power consumption module includes: the distributed power supply real-time consumption unit, the power transmission stopping unit and the distributed power supply consumption capacity unit;
the distributed power supply real-time consumption unit is used for performing real-time consumption on the distributed power supply output error at the current moment on the basis of the charging rule and the premise that the charging and discharging capacity of the energy storage distributed power supply consumption group do not reach the upper limit and the lower limit;
the power transmission stopping unit is used for stopping the power transmission of the energy storage distributed power supply absorption group to the power grid;
the distributed power supply consumption capacity unit is used for constraining and calculating the consumption capacity of the energy storage distributed power supply consumption group in the energy storage charging process;
wherein the charging rules of the energy storage distributed power supply consumption group comprise: and preferentially regulating the distributed power supply fast regulation and control energy storage group to the distributed power supply common regulation and control energy storage group at the current moment in a positive sequence mode, and updating the energy storage device groups of the energy storage distributed power supply absorption group at the next moment.
Preferably, the demand side absorption module includes: the system comprises a demand side real-time consumption unit, a charging stopping unit and a technical output unit;
the demand side real-time consumption unit is used for performing real-time consumption on the demand side load power error at the current moment on the basis of the premise that the discharge rule and the charge-discharge capacity of the energy storage demand side resource group do not reach the upper limit and the lower limit;
the charging stopping unit is used for stopping charging and starting discharging energy supply to the power grid;
the technical output unit is used for constraining and calculating the technical output of the demand side fast regulation and control energy storage group and the demand side common regulation and control energy storage group;
the discharging rule of the energy storage demand side resource group comprises the following steps: and preferentially regulating and controlling the common regulation and control energy storage group at the demand side to the quick regulation and control energy storage group at the demand side in a positive sequence mode at the current moment, and updating the energy storage device groups of the energy storage demand side resource group at the next moment.
Preferably, the system further comprises: an update module;
and the updating module is used for acquiring the actual output of the distributed power generation at the next moment, the actual value of the load power at the demand side, the pre-calculated assumed output of the distributed power generation at the next moment and the ideal predicted value of the load power at the demand side, and updating the output error of the distributed power and the load power error at the demand side.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides an energy storage configuration method for supporting consumption of distributed power supplies of an intelligent park, which comprises the following steps: acquiring actual output of distributed power generation at the current moment, an actual value of demand side load power and a pre-calculated assumed output of distributed power generation at the current moment and an ideal predicted value of demand side load power; obtaining a distributed power supply output error at the current moment based on the distributed power supply actual output and the distributed power supply assumed output at the current moment, and obtaining a demand side load power error at the current moment based on the demand side load power actual value and the demand side load power ideal predicted value at the current moment; when the distributed power output error is larger than a first set threshold value: carrying out step elimination on the output error of the distributed power supply at the current moment based on an energy storage distributed power supply elimination group; when the power error of the demand side load is larger than a second set threshold: and carrying out step absorption on the demand side load power error at the current moment based on the energy storage demand side resource group. The power balance requirements of a power grid in the processes of distributed power supply consumption and demand side resource management can be dynamically grouped and stepped, and the stability of a power system is indirectly improved;
2. the energy storage configuration method and the system for supporting the consumption of the distributed power supply of the intelligent park reduce the uncertainty generated by the distributed power supply and the impact problem in the process of accessing the power grid.
Drawings
FIG. 1 is a flow chart of a method provided by the present invention;
fig. 2 is a flowchart of an implementation system of an energy storage configuration scheme according to an embodiment of the present invention;
FIG. 3 is an overall physical block diagram of an energy storage configuration scheme provided in accordance with an embodiment of the present invention;
fig. 4 is a method for dynamically grouping and stepwise absorbing errors of an energy storage device according to an embodiment of the present invention;
fig. 5 is a system configuration diagram provided by the present invention.
Detailed Description
Example 1:
the following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
The invention provides an energy storage configuration method and system for supporting consumption of distributed power supplies of an intelligent park, which are shown in a method flow chart of fig. 1 and a system structure chart of fig. 5, and have the following specific scheme:
step 1: acquiring actual output of distributed power generation at the current moment, an actual value of demand side load power and a pre-calculated assumed output of distributed power generation at the current moment and an ideal predicted value of demand side load power;
step 2: obtaining a distributed power supply output error at the current moment based on the distributed power supply actual output and the distributed power supply assumed output at the current moment, and obtaining a demand side load power error at the current moment based on the demand side load power actual value and the demand side load power ideal predicted value at the current moment;
and step 3: when the distributed power output error is larger than a first set threshold value: carrying out step elimination on the output error of the distributed power supply at the current moment based on an energy storage distributed power supply elimination group;
and 4, step 4: when the power error of the demand side load is larger than a second set threshold: and carrying out step absorption on the demand side load power error at the current moment based on the energy storage demand side resource group.
Wherein, the step 1: acquiring actual output of distributed power generation at the current moment, an actual value of load power at a demand side, and a pre-calculated assumed output of distributed power generation at the current moment and an ideal predicted value of load power at the demand side:
(one) classification of information required for configuration scheme
(1) Operation information for determining participation of standby rotary generator set in adjustment by power grid
The operation information of the standby rotary generator set participating in adjustment comprises the generated output of each generator set, the upper limit and the lower limit of the generated output of the generating technology (the maximum generated output and the minimum generated output), the upper limit of the climbing output capacity, the lower limit of the reduced output capacity and the technical output range.
(2) Power grid prediction distributed power generation output and operation information of demand side resources
Distributed power generation output and operation information of demand-side resource the ideal predicted value of the assumed output of the distributed power, the number | L | of demand-side resource participating users and the ideal load power which is expected to participate in adjustment
Step 2: obtaining a distributed power supply output error at the current moment based on the distributed power supply actual output and the distributed power supply assumed output at the current moment, and obtaining a demand side load power error at the current moment based on the demand side load power actual value and the demand side load power ideal predicted value at the current moment:
(3) error of power grid for determining distributed power generation and demand side resource allocation
Errors in distributed power generation and demand side resource allocation. The error comprises a demand side load adjustment error
And distributed power supply absorption error
The error of the demand-side load regulation is the ideal load power of the load regulation
With actual regulated load power
The difference value. The distributed power supply consumption is an ideal predicted value of the assumed output of the distributed power supply obtained by analyzing the power grid
And actual distributed power output
The magnitude of the difference.
(II) dynamic grouping of distributed energy storage devices
The distributed energy storage devices are dynamically grouped as follows: the energy storage devices are divided into 2 large groups, and each large group corresponds to 2 small groups. The 2 large groups correspond to a distributed power supply consumption group and a demand side resource matching group.
And step 3: when the distributed power output error is larger than a first set threshold value: carrying out step elimination on the distributed power supply output error at the current moment based on an energy storage distributed power supply elimination group:
the distributed power supply consumption group is mainly used for consuming the distributed power supply, the problem of stability caused by large-scale access of the distributed power supply is avoided, then electric energy is transmitted according to a specific operation mode of a power grid, and when a distributed power supply consumption error occurs
When the power transmission system starts to consume the distributed power supply, the power transmission system stops power transmission to the power grid.
And 4, step 4: when the power error of the demand side load is larger than a second set threshold: carrying out step absorption on the demand side load power error at the current moment based on an energy storage demand side resource group:
the demand side resource group mainly aims at compensating the power shortage generated when the demand side user uses energy, absorbs the electric energy in the power grid at ordinary times, and generates the load adjustment error of the demand side
And when the power supply is stopped, the charging is stopped, and the power supply is discharged to the power grid.
The 2 subgroups include: a fast regulation energy storage group and a common regulation energy storage group.
Step-type absorption and matching error of (III) distributed energy storage device
And preferentially regulating the fast regulation and control energy storage group to the common regulation and control energy storage group in a positive sequence mode of the charging rule of the distributed power supply absorption group at the time t. The charge-discharge capacity is lower than the upper and lower limits. And preferentially regulating the common regulation energy storage group to the quick regulation energy storage group in a mode that the discharge rule of the demand side resource matching group at the time t is positive sequence.
The step type mainly refers to dynamically changing a distributed power consumption group and a demand side resource matching group at each moment.
Example 2:
FIG. 2 is a flow chart of an implementation of a scheme for energy storage configuration to support intelligent campus distributed power generation in accordance with an embodiment of the present invention. The solution takes into account distributed power and demand response resource configuration uncertainties. As shown in FIG. 2, assume a total of | KiAnd | K | energy storage device numbers are represented by K. There are a total of J gensets supplying load to users of the campus, and the genset set may be represented by set J. The generator set provides necessary power grid stability control services such as frequency modulation and voltage regulation for distributed power consumption, and j represents the jth generator set. The users participating in the demand response on the demand side are | L | in total, and L represents the ith user participating in the demand response. The elapsed time in the whole power grid dispatching control process is | T |, and similarly, T represents the T-th demand response execution time, and T represents the demand response execution time set.
For the sake of understanding of the subsequent patents, it is specified here that symbol B represents an energy storage device, symbol G represents a generator set, symbol D represents a distributed power supply, and symbol DS represents a demand-side resource. The inclusion of the above notation in the following formula would characterize the model of the above class 4 entity.
This patent is key to solve the problem for through reserve rotatory generating set, energy memory, distributed generator and the resource matching of demand side resource, realize the load power balance of 4 types of entities.
The energy storage configuration method and the implementation flow for solving the problem are specifically described in fig. 3. As shown in fig. 3, method 200 proceeds from steps 201 to 206. The starting is 201: firstly, a power grid dispatching control platform center determines the information of the generated output of each generator set of the J generator sets, the upper and lower limits of the generated output of the generating technology (the maximum generated output and the minimum generated output), the upper limit of the climbing output capacity, the lower limit of the reduced output capacity and the like.
The generating set regulates the generating output of the jth generating set at the tth moment to be
And the power generation technology output of the generator set has certain upper and lower limits. Maximum and minimum power generation technology output
And
if the power generation of the jth generating set rises to output at the moment, the corresponding climbing output capacity of the jth generating set has an upper limit at the moment
Output of generator set at time t
The force should not be higher than the last t-1 moment
Too much. Can be represented by the formula (3)
And
the relationship between them.
If the output of the jth generating set is reduced during the power generation, the corresponding output reducing capacity of the jth generating set has a lower limit
The output of the generator set at the last t-1 moment
Should not be lower than the force at time t
Too much. Similarly, in this case, the above expression (4) can be used
And
the relationship between them.
Due to the particularity of the generator set, the high-frequency quick start and stop cannot be realized. Therefore, the generator set is specified from a certain time T to TGThe load power in the time interval cannot be greatly different, namely the technical output range of the generator set cannot be exceeded
And cannot be 0.
At the same time, the integral output load of all the generator sets at the moment t
Comprises the following steps:
step 202: after determining the operation information of the standby rotary generator set participating in the consumption of the distributed power supply, the power grid dispatching management and control platform center starts to predict the operation information of the generated output of the distributed power supply and the resources on the demand side. The operational information includes an ideal predicted value of the assumed contribution of the distributed power supply
Number | L | of users participating in adjustment with demand-side resources and anticipated load power that can participate in adjustment
Step 203: and the power grid dispatching management and control platform center starts to dynamically acquire the actual power generation output condition of the distributed power supply and the information of resource adjustment of the demand side in real time. The specific information includes actual distributed power output
And load power adjusted by actual demand side resources
The method confirms the error in the distributed power generation and demand side resource matching process by determining the actually acquired information, namely the demand side load adjustment error
And distributed power supply absorption error
Size. The specific details are as follows:
the ideal predicted value of the assumed output of the distributed power supply is
While the actual distributed power output
The distributed power supply now specifies a base proportion of grid-connected access as mu. The base ratio and the ideal load power of the demand side load adjustment
It is related.
But the actual distributed power output acquired by the power grid unified dispatching management and control platform in real time is
At this time, there is a certain error
The load of the L users of the demand-side resource is adjusted to
And at the moment, the demand side participates in the consumption of the distributed power supply, and the matching of the demand side resources and the distributed power supply curve is realized by utilizing | L | users which are determined to participate in demand response but are not determined to participate in capacity at each moment t.
Suppose that user/is actually available to participate at time tThe adjusted load is
The ideal adjusted load power for the demand side resource is envisioned to be
The unified power grid dispatching management and control platform collects information in real time to count and know that the load resources on the demand side can be adjusted at the moment t
For accommodating distributed power. And the overall adjustment error is
Load adjustment error in process of analyzing load resource response on demand side
And errors in distributed power supply consumption
The energy storage device can then be used to achieve the cancellation of the two error adjustments.
Step 204: the power grid dispatching control platform center integrates operation information of distributed cluster energy storage devices participating in demand response regulation, and the operation information comprises maximum technical output, minimum technical output, discharge power, stored power, maximum storage capacity of all the energy storage devices and an overall energy storage level setting threshold value of energy storage and discharge of a single energy storage device.
Step 205: after the distributed cluster energy storage devices participating in demand response regulation and control are integrated by the power grid dispatching management and control platform center, the multi-region energy storage devices are processed in a grouping mode, and the multi-region energy storage devices are divided into 4 groups in total. 2 big groups, each big group corresponds to2 subgroups. The 2 large groups correspond to a distributed power supply consumption group and a demand side resource matching group. The distributed power supply consumption group is mainly used for consuming the distributed power supply, the problem of stability caused by large-scale access of the distributed power supply is avoided, then electric energy is transmitted according to a specific operation mode of a power grid, and when a distributed power supply consumption error occurs
And starting the distributed power supply absorption group in the energy storage device to absorb the distributed power supply, and stopping the power transmission of the distributed power supply absorption group in the energy storage device to the power grid. The demand side resource group mainly compensates the power shortage generated when the demand side user uses energy, absorbs the electric energy in the power grid at ordinary times, and generates the load adjustment error of the demand side
And when the power supply is stopped, the charging is stopped, and the power supply is discharged to the power grid. The preset values based on the decay rate in the 2 large groups are divided into 2 groups, respectively. The decentralized cluster energy storage is thus 4 subgroups in total. The group division rule in the large group is that the 1 st group is a rapid regulation and control energy storage group, and the 2 nd group is a common regulation and control energy storage group. The fast-regulating energy storage set can realize fast discharging or charging, and the common regulating energy storage set is relatively slow in charging and discharging. The grouping mode is as follows: the energy storage devices included in the distributed power supply absorption group and the demand side resource matching group are firstly grouped. The grouping mode is classified according to the response matching speed of the energy storage devices and the current energy storage level. The method is divided into a fast regulation energy storage group FD and a common regulation energy storage group ND.
If the current stored energy capacity of the kth energy storage device at the moment t is
The energy storage limit of the energy storage device is
At this time the stored energy level α is
The energy storage device of the distributed power supply absorption group is mainly used for absorption of the distributed power supply, so that the lower energy storage level means the higher energy storage charging potential at the moment, the energy storage device of the distributed power supply absorption group is specified, and if the energy storage level α is less than
And energy storage capacity
Not reaching the energy storage limit
Namely, it is
At this time, if the large group to which the kth energy storage device belongs is a distributed power supply absorption group and the response matching speed is high, the kth energy storage device is classified into a fast regulation and control energy storage group FD, and if not, the kth energy storage device is classified into a common regulation and control energy storage group ND.
The energy storage device of the demand side resource matching group is mainly used for matching the demand side resource, so that the higher the energy storage level at this time means the greater the energy storage discharge potential, the energy storage device of the demand side resource matching group is specified, and if the energy storage level α is greater than the energy storage level
And energy storage capacity
Not reaching the energy storage limit
Namely, it is
At this time, if the large group to which the kth energy storage device belongs is a demand side resource matching group, and the response matching speed is high, the kth energy storage device is classified into a fast regulation and control energy storage group FD, otherwise, the kth energy storage device is classified into a common regulation and control energy storage group ND.
Step 206: after the power grid dynamically groups the distributed energy storage devices, load error compensation and matching generated by uncertainty in response to distributed power sources and demand side resources are started. The whole process adopts dynamic grouping stepped consumption and matches uncertain load errors brought by the consumption matching process of demand side resources and distributed power supplies
The implementation process of the dynamic grouping stepped absorption and matching error of the distributed energy storage device is referred to as follows:
the energy storage device of the distributed power supply absorption group provides the maximum charging absorption capacity in the energy storage charging process no matter whether the energy storage group FD is quickly regulated and controlled or the energy storage group ND is normally regulated and controlled
And minimum charge absorption capability
The constraint of equation (11) should be satisfied.
The overall chargeable consumption capability of the distributed power supply consumption group is
According to the mode of fig. 4, the fast regulation and control energy storage group is preferentially regulated and controlled to the normal regulation and control energy storage group in a mode that the charging rule of the distributed power supply absorption group at the time t is positive. At time t +1, the energy storage device groups of the distributed power supply absorption group are updated according to step 205.
And the energy storage device of the demand side resource matching group is mainly used for making up the power shortage generated when the demand side user uses energy and absorbing the electric energy in the power grid at ordinary times. Integral energy storage device for stipulating demand side resource matching group, whether fast regulation energy storage group FD or common regulationEnergy storage group ND, each device k of which discharges with maximum technical output at time t
And minimum technical output
The constraint of equation (13) should be satisfied.
The overall dischargeable matching capability of the demand-side resource matching group is
According to the mode of fig. 4, the discharge rule of the demand side resource matching group at time t is positive, and the normal regulation energy storage group is preferentially regulated to the fast regulation energy storage group. And at the moment t +1, updating the energy storage device group of the demand side resource matching group according to the step 205.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911314027.7A CN110994699A (en) | 2019-12-18 | 2019-12-18 | An energy storage configuration method and system supporting distributed power consumption in smart parks |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911314027.7A CN110994699A (en) | 2019-12-18 | 2019-12-18 | An energy storage configuration method and system supporting distributed power consumption in smart parks |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110994699A true CN110994699A (en) | 2020-04-10 |
Family
ID=70095741
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911314027.7A Pending CN110994699A (en) | 2019-12-18 | 2019-12-18 | An energy storage configuration method and system supporting distributed power consumption in smart parks |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110994699A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115036930A (en) * | 2022-07-19 | 2022-09-09 | 广东电网有限责任公司 | Power load control method and device, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140277599A1 (en) * | 2013-03-13 | 2014-09-18 | Oracle International Corporation | Innovative Approach to Distributed Energy Resource Scheduling |
| CN105375533A (en) * | 2015-09-23 | 2016-03-02 | 许继集团有限公司 | An operation mode prediction method for an independent micro-grid involving renewable energy sources of wind and light |
| CN107769234A (en) * | 2017-11-27 | 2018-03-06 | 国网河南省电力公司电力科学研究院 | The fm capacity evaluation method of distributed power source is coordinated in a kind of multiple spot energy storage |
| CN109193802A (en) * | 2018-09-25 | 2019-01-11 | 中国电力科学研究院有限公司 | A kind of Demand-side resource regulating method and system considering new energy prediction error |
| CN109713733A (en) * | 2019-01-30 | 2019-05-03 | 辽宁东科电力有限公司 | The method that extensive energy storage joint fired power generating unit improves power grid capability of fast response |
| CN110165713A (en) * | 2019-04-30 | 2019-08-23 | 南京谷峰智能技术有限公司 | A kind of garden demand response method of providing multiple forms of energy to complement each other based on peaking demand of power grid |
-
2019
- 2019-12-18 CN CN201911314027.7A patent/CN110994699A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140277599A1 (en) * | 2013-03-13 | 2014-09-18 | Oracle International Corporation | Innovative Approach to Distributed Energy Resource Scheduling |
| CN105375533A (en) * | 2015-09-23 | 2016-03-02 | 许继集团有限公司 | An operation mode prediction method for an independent micro-grid involving renewable energy sources of wind and light |
| CN107769234A (en) * | 2017-11-27 | 2018-03-06 | 国网河南省电力公司电力科学研究院 | The fm capacity evaluation method of distributed power source is coordinated in a kind of multiple spot energy storage |
| CN109193802A (en) * | 2018-09-25 | 2019-01-11 | 中国电力科学研究院有限公司 | A kind of Demand-side resource regulating method and system considering new energy prediction error |
| CN109713733A (en) * | 2019-01-30 | 2019-05-03 | 辽宁东科电力有限公司 | The method that extensive energy storage joint fired power generating unit improves power grid capability of fast response |
| CN110165713A (en) * | 2019-04-30 | 2019-08-23 | 南京谷峰智能技术有限公司 | A kind of garden demand response method of providing multiple forms of energy to complement each other based on peaking demand of power grid |
Non-Patent Citations (1)
| Title |
|---|
| 程虹;王伟;朱文广;熊宁;杨为群;: "大型分布式光伏发电消纳数据的智能调度方法研究", 现代电子技术, no. 09, 1 May 2017 (2017-05-01) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115036930A (en) * | 2022-07-19 | 2022-09-09 | 广东电网有限责任公司 | Power load control method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105406518B (en) | Energy storage participates in the AGC control methods and control system of electric grid secondary frequency modulation | |
| CN104734200B (en) | A kind of active distribution network Optimization Scheduling based on virtual generating | |
| CN109149635A (en) | A kind of power distribution network distributed photovoltaic parallel optimization configuration method and system | |
| CN113300353B (en) | A method and device for calculating power grid partition load margin considering N-1 reliability | |
| CN114400660A (en) | Method and system for determining proportion of wind power photovoltaic hydrogen production system | |
| CN119582355A (en) | A method, device and medium for distributing active and reactive power of energy storage power station | |
| CN107591836B (en) | Method and device for determining maximum permeability of distributed power supply | |
| CN109687441A (en) | A kind of independent micro-capacitance sensor flexibility resource capacity configuration method based on scene decomposition-coordination | |
| CN115238992B (en) | Coordination optimization method and device for power system source load storage and electronic equipment | |
| CN117277444A (en) | A method and device for optimizing the configuration of power supply capacity in a new energy base | |
| CN110556862B (en) | A two-stage optimization control method and device for distribution network based on photovoltaic cluster | |
| CN110994699A (en) | An energy storage configuration method and system supporting distributed power consumption in smart parks | |
| CN108155641B (en) | System Recovery Method Considering Startup Sequence and Recovery Process of HVDC Transmission System | |
| CN120109899A (en) | Black start recovery path optimization method and device for new energy power system containing grid-connected energy storage | |
| CN114844118A (en) | Multi-type equipment power coordination control method and system suitable for micro-grid | |
| CN119070360A (en) | A method, device and medium for controlling frequency of a power system considering frequency support provided by electric vehicles | |
| CN119742813A (en) | A method and device for optimizing distribution of virtual inertia of microgrid | |
| CN118074175A (en) | A method and device for joint dispatching of energy storage power stations taking into account offshore wind farms | |
| CN117175709A (en) | New energy power system unit combination method and system taking into account inertia constraints | |
| CN112906964B (en) | A distributed energy storage combination method considering aggregation effects | |
| CN112564086B (en) | A method and device for optimizing the capacity of chemical energy storage on the grid side | |
| CN110994676B (en) | Hydropower station power control method and device based on water level | |
| CN113078688A (en) | Day-ahead thermal power starting optimization method and system for preventing and controlling standby shortage risk | |
| CN114418232A (en) | Energy storage system operation optimization method and system, server and storage medium | |
| CN115000938B (en) | A method and system for calculating the scale of new energy development with multi-dimensional constraints at the new energy sending end |
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 |