CN116703135B - Power line construction planning analysis and evaluation method - Google Patents
Power line construction planning analysis and evaluation method Download PDFInfo
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- CN116703135B CN116703135B CN202311001001.3A CN202311001001A CN116703135B CN 116703135 B CN116703135 B CN 116703135B CN 202311001001 A CN202311001001 A CN 202311001001A CN 116703135 B CN116703135 B CN 116703135B
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Abstract
本发明涉及电力线路技术领域，具体公开一种电力线路建设规划分析评估方法，该方法包括：S1、目标园区历史用电信息获取、S2、目标园区历史用电分析、S3、目标园区人口数量增长趋势分析、S4、目标园区用电设备增长趋势分析、S5、目标园区扩张紧急系数分析和S6、目标园区扩张紧急系数处理，本发明有利于相关工作人员对工业园区的用电量波动性的把控，进而做出更优益的电力扩张前瞻性决策，从而提高了工业园区电力线路提前规划的价值性和参考性，本发明保障了工业园区的用电量需求分析的精准性，为工业园区的电力线路扩张的分析提供强有力的数据支持，确保电力供应的可靠性，避免造成资源浪费和投资冗余。
The invention relates to the field of power line technology, and specifically discloses a power line construction planning analysis and evaluation method. The method includes: S1, acquisition of historical power consumption information of the target park, S2, historical power consumption analysis of the target park, S3, population growth of the target park. Trend analysis, S4, target park electrical equipment growth trend analysis, S5, target park expansion emergency coefficient analysis, and S6, target park expansion emergency coefficient processing, the present invention is beneficial to relevant staff to understand the fluctuation of power consumption in the industrial park. control, and then make better forward-looking decisions on power expansion, thereby improving the value and reference of advance planning of power lines in industrial parks. The present invention ensures the accuracy of power demand analysis in industrial parks and provides solutions for industrial parks. The analysis of power line expansion provides strong data support to ensure the reliability of power supply and avoid resource waste and investment redundancy.
Description
Technical Field
The invention relates to the technical field of power lines, in particular to a power line construction planning analysis and evaluation method.
Background
With the rapid development of global economy and the acceleration of the urbanization process, the demand for reliable, efficient, sustainable power supplies is also increasing. The power line is an important link of energy source transmission, and planning, construction and operation are important. Through evaluating the power demand of the industrial park, analyzing the power consumption increase trend, measuring and calculating the power transmission loss, a reasonable power line construction planning scheme adapting to the future demand is conveniently formulated for the industrial park. This helps predict and solve the potential shortage of electric power supply in the target park in advance, ensures continuous stable output of electric power supply, and therefore, construction planning of electric power lines in the industrial park is extremely necessary.
In the prior art, the construction planning of the power line of the industrial park can meet the current requirements to a certain extent, but certain defects exist, and the method is specifically implemented in the following layers: (1) In the prior art, the analysis strength of the fluctuation of the electricity consumption of the industrial park is not deep enough, the fluctuation of the electricity consumption of the industrial park in a history period and the fluctuation of the electricity consumption of a peak period reflect the urgency of line expansion of the industrial park to a certain extent, the larger the fluctuation of the electricity consumption and the larger the fluctuation of the electricity consumption of the peak period are, the larger the demand of the industrial park for the electricity is described, the control of the fluctuation of the electricity consumption of the industrial park is caused by neglecting the layer in the prior art, and then better forward-looking decision of the expansion of the electricity cannot be made, and the phenomenon of paralysis of the power line of the industrial park caused by the insufficient electricity supply of the industrial park possibly occurs, so that the value and the reference of the advance planning of the power line of the industrial park are reduced.
(2) The degree of attention to the trend of growing of the electric equipment of industrial park among the prior art is not high, and the trend of growing of electric equipment has reflected the power consumption demand of industrial park to a certain extent, and prior art is to the analysis that the neglect of this aspect leads to the power consumption demand of industrial park inaccurate, and then can't provide powerful data support for the analysis of the power line expansion of industrial park to reduce the accuracy and the accuracy of industrial park power line expansion analysis, be difficult to ensure the reliability of power supply, cause wasting of resources and investment redundancy easily.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a power line construction planning analysis and evaluation method which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme: a power line construction planning analysis and evaluation method comprises the following steps: s1, acquiring historical electricity consumption of a target park: historical electricity consumption of the target park is obtained from the power supply center.
S2, historical electricity analysis of a target park: and analyzing the power consumption increase trend coefficient and the power consumption fluctuation coefficient corresponding to the target park based on the historical power consumption of the target park.
S3, analyzing population growth trend of the target park: and extracting the personnel number corresponding to each enterprise in each history period from the cloud database, and analyzing the enterprise scale growth trend coefficient corresponding to the target park according to the personnel number.
S4, analyzing the trend of the increase of the electric equipment in the target park: and extracting electric equipment information corresponding to each enterprise in each history period from the cloud database, wherein the electric equipment information comprises the use time length corresponding to each electric equipment to which each electric equipment type belongs, and analyzing the electric equipment growth trend coefficient corresponding to the target park according to the use time length.
S5, analyzing the target park expansion emergency coefficient: and comprehensively analyzing the power line expansion emergency coefficient corresponding to the target park.
S6, target park expansion emergency coefficient processing: and displaying the power line expansion emergency coefficient corresponding to the target park.
As a preferable scheme, the historical electricity consumption comprises the total electricity consumption of enterprises in each historical period corresponding to each period of each natural day.
As a preferable scheme, the specific analysis method of the power consumption increase trend coefficient corresponding to the target park is as follows: extracting the total electricity consumption of each enterprise in each period of each natural day corresponding to each history period from the historical electricity consumption information of the target park, and summarizing the total electricity consumption to obtain the total electricity consumption of each enterprise in each natural day corresponding to each history periodWherein->Expressed as the number of each business>，/>Number expressed as each history period, +.>，/>Number expressed as respective natural day, +.>。
Analysis target gardenPower consumption increase trend coefficient corresponding to each historical period of each enterprise to which the region belongs。
According to the power consumption increase trend coefficient corresponding to each historical period of each enterprise belonging to the target park, screening the maximum power consumption increase trend coefficient of each enterprise belonging to the target parkAnd a minimum electricity consumption increase trend coefficient +.>。
Marking each history period corresponding to the power consumption increase trend coefficient of each enterprise of the target park being greater than or equal to the predefined power consumption increase trend coefficient threshold as each increase history period, further obtaining each increase history period corresponding to each enterprise of the target park, and counting the number of the corresponding increase history periods of each enterprise of the target park。
Counting the number of history periodsAnalyzing the power consumption increase trend coefficient corresponding to the target park，/>，/>，/>WhereinIs natural constant (18)>Tolerance for predefined power consumption increase trend coefficient, +.>For the number of enterprises, the->Is the number of history periods.
As a preferable scheme, the power consumption increase trend coefficient corresponding to each history period of each enterprise to which the target park belongs is specifically analyzed by the following method: drawing a total power consumption line diagram corresponding to each enterprise of the target park in each history period according to the total power consumption of each enterprise of the target park in each history period corresponding to each natural day, extracting each segment line segment from the total power consumption line diagram, acquiring coordinates of a starting point corresponding to each segment line segment and coordinates of an ending point corresponding to each segment line segment, and further counting the total power consumption of each enterprise of the target park in each history period corresponding to each segment line segment in each starting pointAnd total power consumption at endpoint->Wherein->For the number of each segment of line, +.>。
Analyzing slopes corresponding to line segments corresponding to each section of each history period of each enterprise belonging to target parkAnd screening the line segments of each enterprise belonging to the target park with the slope larger than zero in each history period, marking the line segments as each segment growing line segment, and further counting the corresponding segment growing line segments of each enterprise belonging to the target park in each history period.
Extracting histories of enterprises belonging to target parkThe slope corresponding to each segment of the period corresponds to the growth line segment, which is marked asWherein->Increasing the number of line segments for each segment, +.>And counting the number of the growth segments of each enterprise belonging to the target park in each history period +.>Further, the power consumption increase trend coefficient ++of each enterprise belonging to the target park in each history period is analyzed>Wherein->，/>，，/>、/>、/>The weight corresponding to the number of predefined growing line segments, the slope of the growing line segments, the average slope of the line segments, respectively, affects the impression factor, +.>For the number of line segments>To increase the number of line segments.
As a preferable scheme, the specific analysis method of the electricity consumption fluctuation coefficient corresponding to the target park comprises the following steps: analyzing the power consumption deviation coefficient of the peak period corresponding to each enterprise belonging to the target park according to the total power consumption of each enterprise belonging to the target park corresponding to each natural day in each history period。
Selecting the maximum total power consumption corresponding to each enterprise belonging to the target park in each history period from the total power consumption corresponding to each natural day in each history periodAnd minimum total power consumption->。
Analyzing power consumption fluctuation coefficients of enterprises belonging to target park in each history periodWherein->For the target park belong to +>The personal enterprises are at the%>The history period corresponds to->Total electricity consumption of the individual nature days, +.>For a predefined tolerance between maximum total power consumption and minimum total power consumption +.>Is the number of natural days.
Average value processing is carried out on the power consumption fluctuation coefficient of each enterprise belonging to the target park in each history period, so as to obtain the power consumption fluctuation coefficient average value of each enterprise belonging to the target park, and the power consumption fluctuation coefficient average value is marked as。
Comprehensive analysis of power consumption fluctuation coefficient corresponding to target parkWherein->、/>And the power consumption deviation coefficient and the weight coefficient corresponding to the mean value of the power consumption fluctuation coefficient are respectively expressed as predefined peak time periods.
As a preferable scheme, the peak period electricity consumption deviation coefficient corresponding to each enterprise of the target park comprises the following specific analysis method: based on the total power consumption of enterprises belonging to the target park in each history period corresponding to each period belonging to each natural day, and combining each peak period corresponding to each history period stored in the cloud database, screening the total power consumption of enterprises belonging to the target park in each history period corresponding to each peak period belonging to each natural day, and marking the total power consumption asWherein->Numbering for each peak period +.>。
The average value of the total power consumption of each enterprise belonging to the target park in each history period corresponding to each peak period belonging to each natural day is processed, so as to obtain the average value of the total power consumption of each enterprise belonging to the target park in each history period corresponding to each peak period belonging to each natural day。
Analyzing power consumption deviation coefficients of enterprises belonging to target parks in peak periods corresponding to natural days in historical periodsWherein->For the target park belong to +>The personal enterprises are at the%>The history period corresponds to->The natural day belongs to->Total power consumption of peak period +.>Is the number of peak hours.
The power consumption deviation coefficient of each enterprise belonging to the target park in the peak period corresponding to each natural day in each history period is subjected to average processing twice, so as to obtain the power consumption deviation coefficient average value of each enterprise belonging to the target park in the peak period, and the power consumption deviation coefficient average value is recorded as the power consumption deviation coefficient of each enterprise belonging to the target park in the peak period。
As a preferable scheme, the enterprise scale growth trend coefficient corresponding to the target park comprises the following specific analysis methods: according to the cloud database, the personnel number corresponding to each enterprise in each history period and corresponding to the target park is extractedAnd is constructed accordinglyBuilding the personnel quantity change quantity corresponding to each enterprise in each history period and adjacent history period in the target parkWherein->Correspond to the target park->The personal enterprises are at the%>The personnel number corresponding to each history period, and then the personnel number variation quantity of each enterprise corresponding to the target park in the unit time length corresponding to each history period and the adjacent history period is built according to the personnel number>。
Extracting the number of actually-accommodated enterprises corresponding to a target park from a cloud databaseAnd counting the number of current enterprises of the target park +.>Further analyze the corresponding enterprise scale growth trend coefficient of the target park，/>，/>，/>Wherein->Corresponding list of predefined history period and adjacent history periodThe allowable error of the personnel number variation value of the bit duration,correspond to the target park->The personal enterprises are at the%>The change quantity of personnel number of unit time length corresponding to each history period and adjacent history periods, < >>、/>、/>Respectively expressed as a predefined personnel quantity change quantity, the duty ratio of the current enterprise quantity and a weight factor corresponding to the personnel quantity change stability.
As a preferable scheme, the method for analyzing the electric equipment growth trend coefficient corresponding to the target park specifically comprises the following steps: extracting the use time length corresponding to each electric equipment of each electric equipment type from the electric equipment information corresponding to each history period of each enterprise corresponding to the target parkWherein->For the number of the respective consumer type->，/>For numbering of electric equipment->。
Slave cloudExtracting power consumption of unit time length corresponding to each electric equipment type from a databaseFurther analyzing the sum of power consumption corresponding to each electric equipment type in each history period for each enterprise corresponding to the target park。
And marking the electric equipment types corresponding to the enterprises corresponding to the target park in the history periods with the sum of the electric power consumption of the enterprises in the history periods being larger than or equal to a predefined electric power consumption threshold as high-power consumption electric equipment types, and further obtaining the high-power consumption electric equipment types corresponding to the enterprises corresponding to the target park in the history periods.
And counting the total number of the electric equipment which the enterprises corresponding to the target park belong to in each history period, further recording the types of the high-power-consumption electric equipment corresponding to the number of the electric equipment which is more than or equal to the predefined total number of the electric equipment as the types of the target electric equipment, and further obtaining the types of the target electric equipment corresponding to the enterprises corresponding to the target park in each history period.
Counting the number of electric equipment belonging to each electric equipment type corresponding to each target in each history period by each enterprise corresponding to the target parkWherein->Number expressed as type of each target consumer, +.>。
Analyzing electric equipment growth trend coefficient corresponding to target parkWherein->For two predefinedAllowable error of number of electric equipment corresponding to target electricity type, < ->Correspond to the target park->The personal enterprises are at the%>The history period corresponds to->The number of consumers to which the individual target consumer type belongs, < >>Is the number of target consumer types.
As a preferable solution, the specific calculation formula of the power line expansion emergency coefficient corresponding to the target park is as follows:。
compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the method, the historical electricity consumption information of the target park is acquired from the power supply center in the historical electricity consumption information acquisition of the target park, and data support is provided for the historical electricity consumption analysis of the subsequent target park.
(2) According to the invention, in the historical electricity consumption analysis of the target park, the electricity consumption fluctuation of the target park in a historical period and the electricity consumption fluctuation of a peak period are analyzed through the historical electricity consumption information of the target park, so that the defect that the electricity consumption fluctuation of the target park is ignored in the prior art is overcome, the control of the electricity consumption fluctuation of the industrial park by related staff is facilitated, a better and beneficial power expansion prospective decision is made, the phenomenon of industrial park power line paralysis caused by insufficient electricity supply of the industrial park is avoided, and the value and the referential of the industrial park power line planning in advance are improved.
(3) According to the method, the enterprise scale growth trend of the target park is analyzed in the population growth trend analysis of the target park, so that the more the number of staff of the enterprise in the target park is, the more the power consumption requirement of the enterprise in the target park is increased to a certain extent, the analysis level of the power expansion emergency coefficient of the target park is enriched, and the accuracy of the power line expansion analysis of the target park is improved.
(4) According to the method, the trend of the electric equipment of the industrial park is analyzed through the number of the high-power-consumption equipment in the industrial park in the trend analysis of the electric equipment of the target park, so that the difficulty that the attention degree of the trend of the electric equipment in the industrial park is low in the prior art is overcome, the accuracy of the electric demand analysis of the industrial park is further ensured, powerful data support is provided for the analysis of the expansion of the electric power line of the industrial park, the accuracy and the accuracy of the expansion analysis of the electric power line of the industrial park are improved, the reliability of electric power supply is ensured, and the resource waste and the investment redundancy are avoided.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a schematic diagram of a total power consumption broken line according to the present invention.
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.
Referring to fig. 1, the invention provides a power line construction planning analysis and evaluation method, which comprises the following steps: s1, acquiring historical power consumption information of a target park, S2, historical power consumption analysis of the target park, S3, population number growth trend analysis of the target park, S4, electric equipment growth trend analysis of the target park, S5, emergency coefficient analysis of expansion of the target park, S6 and emergency coefficient processing of expansion of the target park.
S1, acquiring historical electricity consumption of a target park: historical electricity consumption of the target park is obtained from the power supply center.
In a specific embodiment of the present invention, the historical electricity consumption information includes total electricity consumption of each enterprise in each historical period corresponding to each period to which each natural day belongs.
According to the method, the historical electricity consumption information of the target park is acquired from the power supply center in the historical electricity consumption information acquisition of the target park, and data support is provided for the historical electricity consumption analysis of the subsequent target park.
S2, historical electricity analysis of a target park: and analyzing the power consumption increase trend coefficient and the power consumption fluctuation coefficient corresponding to the target park based on the historical power consumption of the target park.
In a specific embodiment of the present invention, the specific analysis method of the power consumption increase trend coefficient corresponding to the target park includes: extracting the total electricity consumption of each enterprise in each period of each natural day corresponding to each history period from the historical electricity consumption information of the target park, and summarizing the total electricity consumption to obtain the total electricity consumption of each enterprise in each natural day corresponding to each history periodWherein->Expressed as the number of each business>，/>Represented as the number of each history period,，/>number expressed as respective natural day, +.>。
Analyzing power consumption increase trend coefficients corresponding to each historical period of enterprises belonging to target park。
According to the power consumption increase trend coefficient corresponding to each historical period of each enterprise belonging to the target park, screening the maximum power consumption increase trend coefficient of each enterprise belonging to the target parkAnd a minimum electricity consumption increase trend coefficient +.>。
Marking each history period corresponding to the power consumption increase trend coefficient of each enterprise of the target park being greater than or equal to the predefined power consumption increase trend coefficient threshold as each increase history period, further obtaining each increase history period corresponding to each enterprise of the target park, and counting the number of the corresponding increase history periods of each enterprise of the target park。
Counting the number of history periodsAnalyzing the power consumption increase trend coefficient corresponding to the target park，/>，/>，/>Wherein->Is natural constant (18)>Tolerance for predefined power consumption increase trend coefficient, +.>For the number of enterprises, the->Is the number of history periods.
In a specific embodiment of the present invention, the specific analysis method of the power consumption increase trend coefficient corresponding to each history period of each enterprise to which the target park belongs is as follows: referring to FIG. 2, wherein the X-axis is the natural day, the Y-axis is the total power consumption, a total power consumption line diagram corresponding to each enterprise of the target park in each history period is drawn according to the total power consumption of each enterprise of the target park in each history period, and then each segment of line is extracted therefrom, and the coordinates of the start point and the end point corresponding to each segment of line are obtained, so as to count the total power consumption of each enterprise of the target park in each history periodAnd total power consumption at endpoint->Wherein->For the number of each segment of line, +.>。
Analyzing each section corresponding to each history period of each enterprise belonging to target parkSlope corresponding to line segmentAnd screening the line segments of each enterprise belonging to the target park with the slope larger than zero in each history period, marking the line segments as each segment growing line segment, and further counting the corresponding segment growing line segments of each enterprise belonging to the target park in each history period.
Extracting the slope corresponding to the growth line segment of each section corresponding to each history period of each enterprise belonging to the target park, and marking the slope asWherein->Increasing the number of line segments for each segment, +.>And counting the number of the growth segments of each enterprise belonging to the target park in each history period +.>Further, the power consumption increase trend coefficient ++of each enterprise belonging to the target park in each history period is analyzed>Wherein->，/>，，/>、/>、/>The weight corresponding to the number of predefined growing line segments, the slope of the growing line segments, the average slope of the line segments, respectively, affects the impression factor, +.>For the number of line segments>To increase the number of line segments.
In a specific embodiment of the present invention, the specific analysis method of the power consumption fluctuation coefficient corresponding to the target park includes: analyzing the power consumption deviation coefficient of the peak period corresponding to each enterprise belonging to the target park according to the total power consumption of each enterprise belonging to the target park corresponding to each natural day in each history period。
Selecting the maximum total power consumption corresponding to each enterprise belonging to the target park in each history period from the total power consumption corresponding to each natural day in each history periodAnd minimum total power consumption->。
Analyzing power consumption fluctuation coefficients of enterprises belonging to target park in each history periodWherein->For the target park belong to +>The personal enterprises are at the%>The history period corresponds to->Total electricity consumption of the individual nature days, +.>For a predefined tolerance between maximum total power consumption and minimum total power consumption +.>Is the number of natural days.
Average value processing is carried out on the power consumption fluctuation coefficient of each enterprise belonging to the target park in each history period, so as to obtain the power consumption fluctuation coefficient average value of each enterprise belonging to the target park, and the power consumption fluctuation coefficient average value is marked as。
Comprehensive analysis of power consumption fluctuation coefficient corresponding to target parkWherein->、/>And the power consumption deviation coefficient and the weight coefficient corresponding to the mean value of the power consumption fluctuation coefficient are respectively expressed as predefined peak time periods.
In a specific embodiment of the present invention, the specific analysis method of the power consumption deviation coefficient in the peak period corresponding to each enterprise to which the target park belongs is as follows: based on the total power consumption of enterprises belonging to the target park in each history period corresponding to each period belonging to each natural day, and combining each peak period corresponding to each history period stored in the cloud database, screening the total power consumption of enterprises belonging to the target park in each history period corresponding to each peak period belonging to each natural day, and marking the total power consumption asWhereinNumbering for each peak period +.>。
The average value of the total power consumption of each enterprise belonging to the target park in each history period corresponding to each peak period belonging to each natural day is processed, so as to obtain the average value of the total power consumption of each enterprise belonging to the target park in each history period corresponding to each peak period belonging to each natural day。
Analyzing power consumption deviation coefficients of enterprises belonging to target parks in peak periods corresponding to natural days in historical periodsWherein->For the target park belong to +>The personal enterprises are at the%>The history period corresponds to->The natural day belongs to->Total power consumption of peak period +.>Is the number of peak hours.
The power consumption deviation coefficient of each enterprise belonging to the target park in the peak period corresponding to each natural day in each history period is subjected to average processing twice, so as to obtain the power consumption deviation coefficient average value of each enterprise belonging to the target park in the peak period, and the power consumption deviation coefficient average value is recorded as the power consumption deviation system of each enterprise belonging to the target park in the peak periodNumber of digits。
According to the invention, in the historical electricity consumption analysis of the target park, the electricity consumption fluctuation of the target park in a historical period and the electricity consumption fluctuation of a peak period are analyzed through the historical electricity consumption information of the target park, so that the defect that the electricity consumption fluctuation of the target park is ignored in the prior art is overcome, the control of the electricity consumption fluctuation of the industrial park by related staff is facilitated, a better and beneficial power expansion prospective decision is made, the phenomenon of industrial park power line paralysis caused by insufficient electricity supply of the industrial park is avoided, and the value and the referential of the industrial park power line planning in advance are improved.
S3, analyzing population growth trend of the target park: and extracting the personnel number corresponding to each enterprise in each history period from the cloud database, and analyzing the enterprise scale growth trend coefficient corresponding to the target park according to the personnel number.
In a specific embodiment of the present invention, the enterprise scale growth trend coefficient corresponding to the target park is specifically analyzed by: according to the cloud database, the personnel number corresponding to each enterprise in each history period and corresponding to the target park is extractedAnd accordingly, the personnel quantity variation quantity corresponding to each enterprise in each history period and adjacent history periods in the target park is constructedWherein->Correspond to the target park->The personal enterprises are at the%>The number of people corresponding to the historical period, and thus, the corresponding each target park is constructedPersonnel quantity change amount of unit time length corresponding to each history period and adjacent history period of enterprise +.>。
Extracting the number of actually-accommodated enterprises corresponding to a target park from a cloud databaseAnd counting the number of current enterprises of the target park +.>Further analyze the corresponding enterprise scale growth trend coefficient of the target park，/>，/>，/>Wherein->For predefining the allowable error of the personnel number variation value of the unit time length of the history period corresponding to the adjacent history period,correspond to the target park->The personal enterprises are at the%>The change quantity of personnel number of unit time length corresponding to each history period and adjacent history periods, < >>、/>、/>Respectively expressed as a predefined personnel quantity change quantity, the duty ratio of the current enterprise quantity and a weight factor corresponding to the personnel quantity change stability.
According to the method, the enterprise scale growth trend of the target park is analyzed in the population growth trend analysis of the target park, so that the more the number of staff of the enterprise in the target park is, the more the power consumption requirement of the enterprise in the target park is increased to a certain extent, the analysis level of the power expansion emergency coefficient of the target park is enriched, and the accuracy of the power line expansion analysis of the target park is improved.
S4, analyzing the trend of the increase of the electric equipment in the target park: and extracting electric equipment information corresponding to each enterprise in each history period from the cloud database, wherein the electric equipment information comprises the use time length corresponding to each electric equipment to which each electric equipment type belongs, and analyzing the electric equipment growth trend coefficient corresponding to the target park according to the use time length.
In a specific embodiment of the present invention, the method for analyzing the trend coefficient of the electric equipment growth corresponding to the target park includes: extracting the use time length corresponding to each electric equipment of each electric equipment type from the electric equipment information corresponding to each history period of each enterprise corresponding to the target parkWherein->For the numbering of the type of the respective consumer,，/>for numbering of electric equipment->。
Extracting power consumption per unit time corresponding to each electric equipment type from cloud databaseFurther analyzing the sum of power consumption corresponding to each electric equipment type in each history period for each enterprise corresponding to the target park。
And marking the electric equipment types corresponding to the enterprises corresponding to the target park in the history periods with the sum of the electric power consumption of the enterprises in the history periods being larger than or equal to a predefined electric power consumption threshold as high-power consumption electric equipment types, and further obtaining the high-power consumption electric equipment types corresponding to the enterprises corresponding to the target park in the history periods.
And counting the total number of the electric equipment which the enterprises corresponding to the target park belong to in each history period, further recording the types of the high-power-consumption electric equipment corresponding to the number of the electric equipment which is more than or equal to the predefined total number of the electric equipment as the types of the target electric equipment, and further obtaining the types of the target electric equipment corresponding to the enterprises corresponding to the target park in each history period.
Counting the number of electric equipment belonging to each electric equipment type corresponding to each target in each history period by each enterprise corresponding to the target parkWherein->Number expressed as type of each target consumer, +.>。
Analyzing electric equipment growth trend coefficient corresponding to target parkWherein->Tolerance of the number of consumers for two predefined target power consumption types +.>Correspond to the target park->The personal enterprises are at the%>The history period corresponds to->The number of consumers to which the individual target consumer type belongs, < >>Is the number of target consumer types.
According to the method, the trend of the electric equipment of the industrial park is analyzed through the number of the high-power-consumption equipment in the industrial park in the trend analysis of the electric equipment of the target park, so that the difficulty that the attention degree of the trend of the electric equipment in the industrial park is low in the prior art is overcome, the accuracy of the electric demand analysis of the industrial park is further ensured, powerful data support is provided for the analysis of the expansion of the electric power line of the industrial park, the accuracy and the accuracy of the expansion analysis of the electric power line of the industrial park are improved, the reliability of electric power supply is ensured, and the resource waste and the investment redundancy are avoided.
S5, analyzing the target park expansion emergency coefficient: and comprehensively analyzing the power line expansion emergency coefficient corresponding to the target park.
In a specific embodiment of the present invention, the specific calculation formula of the power line expansion emergency coefficient corresponding to the target park is:。
s6, target park expansion emergency coefficient processing: and displaying the power line expansion emergency coefficient corresponding to the target park.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art of describing particular embodiments without departing from the structures of the invention or exceeding the scope of the invention as defined by the claims.
Claims (2)
1. The power line construction planning analysis and evaluation method is characterized by comprising the following steps of:
s1, acquiring historical electricity consumption of a target park: acquiring historical electricity consumption information of a target park from a power supply center;
s2, historical electricity analysis of a target park: analyzing the power consumption increase trend coefficient and the power consumption fluctuation coefficient corresponding to the target park based on the historical power consumption of the target park;
s3, analyzing population growth trend of the target park: the personnel number corresponding to each enterprise in each history period and corresponding to the target park is extracted from the cloud database, and the enterprise scale growth trend coefficient corresponding to the target park is analyzed according to the personnel number;
s4, analyzing the trend of the increase of the electric equipment in the target park: extracting electric equipment information corresponding to each enterprise in each historical period from a cloud database, wherein the electric equipment information comprises the use time corresponding to each electric equipment to which each electric equipment type belongs, and analyzing the electric equipment growth trend coefficient corresponding to the target park according to the use time;
s5, analyzing the target park expansion emergency coefficient: comprehensively analyzing the power line expansion emergency coefficient corresponding to the target park;
s6, target park expansion emergency coefficient processing: displaying the power line expansion emergency coefficient corresponding to the target park;
the specific analysis method of the power consumption increase trend coefficient corresponding to the target park comprises the following steps:
extracting total electricity consumption of enterprises in each history period corresponding to each period of each natural day from the historical electricity consumption information of the target park, and storing the total electricity consumptionSummarizing to obtain total power consumption of each enterprise belonging to the target park corresponding to each natural day in each history periodWherein->Expressed as the number of each business>，/>Number expressed as each history period, +.>，/>Number expressed as respective natural day, +.>；
Analyzing power consumption increase trend coefficients corresponding to each historical period of enterprises belonging to target park；
According to the power consumption increase trend coefficient corresponding to each historical period of each enterprise belonging to the target park, screening the maximum power consumption increase trend coefficient of each enterprise belonging to the target parkAnd a minimum electricity consumption increase trend coefficient +.>；
The power consumption increase trend coefficient of each enterprise of the target park is larger than or equal to the predefined power consumption increase trend systemMarking each history period corresponding to the number threshold as each growth history period, further obtaining each growth history period corresponding to each enterprise belonging to the target park, and counting the number of the corresponding growth history periods of each enterprise belonging to the target park；
Counting the number of history periodsAnalyzing power consumption increase trend coefficient corresponding to target park>，，/>，/>Wherein->Is natural constant (18)>Tolerance for predefined power consumption increase trend coefficient, +.>For the number of enterprises, the->Is the number of history periods;
the specific analysis method of the power consumption increase trend coefficient corresponding to each historical period of each enterprise to which the target park belongs is as follows:
according to the historical period pairs of each enterprise to which the target park belongsDrawing a total power consumption line graph corresponding to each enterprise belonging to the target park in each history period according to the total power consumption of each natural day, extracting each segment line segment from the total power consumption line graph, acquiring the coordinates of the starting point corresponding to each segment line segment and the coordinates of the end point corresponding to each segment line segment, and further counting the total power consumption of each enterprise belonging to the target park in each history period corresponding to each segment line segmentAnd total power consumption at endpoint->Wherein->For the numbering of the segments of each segment,；
analyzing slopes corresponding to line segments corresponding to each section of each history period of each enterprise belonging to target parkAnd screening all segments with slope larger than zero in each history period of each enterprise belonging to the target park according to the slope, marking the segments as all segments of growing segments, and further counting the corresponding segments of growing segments of each enterprise belonging to the target park in each history period;
extracting the slope corresponding to the growth line segment of each section corresponding to each history period of each enterprise belonging to the target park, and marking the slope asWherein->Increasing the number of line segments for each segment, +.>And counting the number of the growth segments of each enterprise belonging to the target park in each history period +.>Further, the power consumption increase trend coefficient ++of each enterprise belonging to the target park in each history period is analyzed>Wherein->，/>，，/>、/>、/>The weight corresponding to the number of predefined growing line segments, the slope of the growing line segments, the average slope of the line segments, respectively, affects the impression factor, +.>For the number of line segments>To increase the number of line segments;
the specific analysis method of the power consumption fluctuation coefficient corresponding to the target park comprises the following steps:
analyzing the power consumption deviation coefficient of the peak period corresponding to each enterprise belonging to the target park according to the total power consumption of each enterprise belonging to the target park corresponding to each natural day in each history period；
Selecting the maximum total power consumption corresponding to each enterprise belonging to the target park in each history period from the total power consumption corresponding to each natural day in each history periodAnd minimum total power consumption->；
Analyzing power consumption fluctuation coefficients of enterprises belonging to target park in each history periodWherein->For the target park belong to +>The personal enterprises are at the%>The history period corresponds to->Total electricity consumption of the individual nature days, +.>For a predefined tolerance between maximum total power consumption and minimum total power consumption +.>Is the number of natural days;
average value processing is carried out on the power consumption fluctuation coefficient of each enterprise belonging to the target park in each history period, so as to obtain the power consumption fluctuation coefficient average value of each enterprise belonging to the target park, and the power consumption fluctuation coefficient average value is marked as；
Comprehensive analysis of power consumption fluctuation coefficient corresponding to target parkWherein->、Respectively representing the power consumption deviation coefficient and the weight coefficient corresponding to the power consumption fluctuation coefficient mean value in the predefined peak period;
the specific analysis method of the peak period electricity consumption deviation coefficient corresponding to each enterprise of the target park comprises the following steps:
based on the total power consumption of enterprises belonging to the target park in each history period corresponding to each period belonging to each natural day, and combining each peak period corresponding to each history period stored in the cloud database, screening the total power consumption of enterprises belonging to the target park in each history period corresponding to each peak period belonging to each natural day, and marking the total power consumption asWherein->Numbering for each peak period +.>；
The average value of the total power consumption of each enterprise belonging to the target park in each history period corresponding to each peak period belonging to each natural day is processed, so as to obtain the average value of the total power consumption of each enterprise belonging to the target park in each history period corresponding to each peak period belonging to each natural day；
Analytical purposesPower consumption deviation coefficient of each enterprise belonging to the label park in each history period corresponding to peak period of each natural dayWherein->For the target park belong to +>The personal enterprises are at the%>The history period corresponds to->The natural day belongs to->Total power consumption of peak period +.>Is the number of peak hours;
the power consumption deviation coefficient of each enterprise belonging to the target park in the peak period corresponding to each natural day in each history period is subjected to average processing twice, so as to obtain the power consumption deviation coefficient average value of each enterprise belonging to the target park in the peak period, and the power consumption deviation coefficient average value is recorded as the power consumption deviation coefficient of each enterprise belonging to the target park in the peak period;
The enterprise scale growth trend coefficient corresponding to the target park comprises the following specific analysis methods:
according to the cloud database, the personnel number corresponding to each enterprise in each history period and corresponding to the target park is extractedAnd construct the object accordinglyPersonnel quantity change quantity corresponding to each enterprise in each history period and adjacent history period in the label parkWherein->Correspond to the target park->The personal enterprises are at the%>The personnel number corresponding to each history period, and then the personnel number variation quantity of each enterprise corresponding to the target park in the unit time length corresponding to each history period and the adjacent history period is built according to the personnel number>；
Extracting the number of actually-accommodated enterprises corresponding to a target park from a cloud databaseAnd counting the number of current enterprises of the target park +.>Further analyze the corresponding enterprise scale growth trend coefficient of the target park，/>，/>，/>Wherein->For predefining the allowable error of the personnel number variation value of the unit time length of the history period corresponding to the adjacent history period,correspond to the target park->The personal enterprises are at the%>The change quantity of personnel number of unit time length corresponding to each history period and adjacent history periods, < >>、/>、/>Respectively representing the weight factors corresponding to the predefined personnel quantity change quantity, the duty ratio of the current enterprise quantity and the personnel quantity change stability;
the specific analysis method for analyzing the electric equipment growth trend coefficient corresponding to the target park comprises the following steps:
extracting the use time length corresponding to each electric equipment of each electric equipment type from the electric equipment information corresponding to each history period of each enterprise corresponding to the target parkWherein->For the number of the respective consumer type->，/>For numbering of electric equipment->；
Extracting power consumption per unit time corresponding to each electric equipment type from cloud databaseFurther, the sum of power consumption corresponding to each electric equipment type in each history period of each enterprise corresponding to the target park is analyzed>；
Recording the types of the electric equipment corresponding to the enterprises corresponding to the target park in the history periods, wherein the sum of the electric consumption of the enterprises in the history periods is larger than or equal to a predefined electric consumption threshold value, as the types of the electric equipment with high electric consumption, and further obtaining the types of the electric equipment with high electric consumption corresponding to the enterprises corresponding to the target park in the history periods;
counting the total number of electric equipment which each enterprise corresponds to in each history period and belongs to, and further recording each high-power consumption electric equipment type corresponding to the electric equipment number which is larger than or equal to the predefined electric equipment number as each target electric equipment type, and further obtaining each target electric equipment type corresponding to each enterprise in each history period;
counting the number of electric equipment belonging to each electric equipment type corresponding to each target in each history period by each enterprise corresponding to the target parkWherein->Number expressed as type of each target consumer, +.>；
Analyzing electric equipment growth trend coefficient corresponding to target parkWherein->Tolerance of the number of consumers for two predefined target power consumption types +.>Correspond to the target park->The personal enterprises are at the%>The history period corresponds to->The number of consumers to which the individual target consumer type belongs, < >>The number of the type of the target electric equipment;
the specific calculation formula of the power line expansion emergency coefficient corresponding to the target park is as follows:。
2. the power line construction planning analysis evaluation method according to claim 1, characterized in that: the historical electricity consumption comprises the total electricity consumption of enterprises in each historical period corresponding to each period of each natural day.
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