CN113536205A - Low-voltage transformer area energy consumption optimization potential evaluation method and energy consumption optimization transformer area screening system - Google Patents

Low-voltage transformer area energy consumption optimization potential evaluation method and energy consumption optimization transformer area screening system Download PDF

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CN113536205A
CN113536205A CN202110779155.XA CN202110779155A CN113536205A CN 113536205 A CN113536205 A CN 113536205A CN 202110779155 A CN202110779155 A CN 202110779155A CN 113536205 A CN113536205 A CN 113536205A
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邹丹平
陈毓春
刘娟
柳宇航
张世帅
楚中建
陈霄
邵雪松
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Nari Technology Co Ltd
State Grid Electric Power Research Institute
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State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention discloses a method for evaluating the energy consumption optimization potential of a low-voltage transformer area, which screens out transformer areas with serious photovoltaic feedback, transformer areas to be expanded and reconstructed and transformer areas capable of adopting conventional energy consumption optimization, sorts the optimization potentials of the transformer areas, and optimizes the transformer areas according to the sequence of potentials from large to small; the invention also discloses an energy consumption optimization platform area screening system which comprises a platform area archive information acquisition module, a platform area metering data acquisition module, a data storage module, a platform area load calculation module, a platform area peak-valley difference calculation module, a platform area distribution change load rate calculation module, a platform area classification module, an evaluation index value calculation module, an evaluation index membership calculation module, a comprehensive evaluation module and a report generation module, wherein each module respectively realizes information acquisition, platform area screening, potential evaluation and sorting, and realizes automatic potential evaluation and sorting.

Description

Low-voltage transformer area energy consumption optimization potential evaluation method and energy consumption optimization transformer area screening system
Technical Field
The invention relates to an energy consumption optimization method, in particular to an energy consumption optimization potential evaluation method and a screening system for a low-voltage transformer area.
Background
The energy consumption optimization of the low-voltage transformer area refers to the fact that flexible load resource potential in the low-voltage transformer area is excavated through a communication technology, a load regulation and control technology and the like, the load peak-valley difference of the transformer area is reduced, the economic operation level of a distribution transformer of the transformer area is improved, the heavy overload level of the distribution transformer is reduced, and the problem of power shortage of the transformer area in summer at the peak-facing degree can be solved.
At present, low-voltage transformer district quantity is numerous, and the energy consumption current situation is complicated various, faces the heavy overload scheduling problem of transformer district load unbalance, distribution transformer seasonality, develops low-voltage transformer district energy consumption optimization work, is favorable to overall management all kinds of loads in transformer district, improve equipment utilization, reduces transformer district dilatation transformation cost, promotes clean energy and consumes, improves transformer district distribution economic operation level. However, not all the cells have the energy consumption optimization potential, and using the same energy consumption optimization for cells with different optimization potentials causes problems of poor optimization effect, resource waste and the like.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a method and a screening system capable of accurately evaluating the station area energy utilization optimization potential.
The technical scheme is as follows: the method for evaluating the energy consumption optimization potential of the low-voltage transformer area comprises the following steps: screening an optimizable transformer area based on the information and the metering data of each transformer area, and evaluating the energy utilization optimization potential of the optimizable transformer area; and sequencing the optimization potentials of all the optimized transformer areas, and sequentially optimizing the energy consumption of the transformer areas according to the sequence from large to small of the optimization potentials.
The optimized platform area comprises a platform area which is serious in photovoltaic feedback, needs capacity expansion and transformation and can be optimized by adopting conventional energy consumption.
The screening steps of the severe photovoltaic back-transmission distribution area are as follows:
calculating photovoltaic power-on transmission capacity ratio Rpv_reverseSetting a threshold value TRWhen R ispv_reverse>TRAnd then, the photovoltaic power transmission is a severe photovoltaic power transmission area, and the photovoltaic power transmission capacity ratio is calculated according to the following formula:
Figure BDA0003155513440000011
in the formula, QreverseFor photovoltaic back-transfer of electricity (calculation method), QtotalThe total photovoltaic grid-connected electric quantity of the transformer area is obtained.
The screening steps of the platform area to be subjected to capacity expansion transformation are as follows: analyzing the commissioning time of the distribution transformer, and classifying the distribution areas meeting the following conditions into the distribution areas to be subjected to capacity expansion transformation:
Figure BDA0003155513440000012
in the formula, SiSelecting a proper value according to the average overload times of the plot for the overload times of the ith plot in the past year and S as a overload time threshold; t isiSelecting a proper value for the heavy overload time of the ith transformer area in the past year and T as a heavy overload time threshold according to the average heavy overload time of the area;
Figure BDA0003155513440000021
for the distribution and transformation operation age of the ith station area,
Figure BDA0003155513440000022
maximum year of operation, T, for distribution to the ith stationrThe threshold value is used for judging the operation year of the distribution transformer.
The screening steps of the platform area to be subjected to capacity expansion transformation are as follows: analyzing the commissioning time of the distribution transformer, and classifying the distribution areas meeting the following conditions into the distribution areas to be subjected to capacity expansion transformation:
Figure BDA0003155513440000023
the station area energy consumption optimization potential evaluation comprises the following steps:
respectively calculating the evaluation index values and the membership degrees of the distribution areas, and obtaining the energy use optimization potential evaluation value of each distribution area by weighting the calculation index values, wherein the calculation formula is as follows:
Figure BDA0003155513440000024
in the above formula, PiOptimizing potential index value omega for energy usage of ith station zonejIs the weight coefficient of the jth index, μijIs the membership value of the j index of the ith station area.
The energy use optimization potential index value comprises:
the maximum load index of the transformer area is the maximum value of the sampling load of a typical day of the load;
a monthly imbalance coefficient index which is a ratio of a sum of daily average loads of monthly maximum load days of a year to a sum of maximum loads of monthly maximum load days;
a daily average peak-to-valley rate index, the daily average peak-to-valley rate index being an average of a ratio of a difference between a daily maximum load and a daily minimum load to a daily maximum load over a period of time;
the annual maximum load rate index of the distribution transformer is the ratio of annual maximum load to rated power;
the distribution transformer annual average load rate index of the distribution transformer is the ratio of annual average load to rated power;
the resident load proportion index at the maximum load moment of the typical day is the ratio of the maximum load day of the year, the maximum load moment of the transformer area and the resident load to the load of the whole transformer area;
a load synchronization rate index, wherein the load synchronization rate index is a ratio of the maximum load of a distribution area to the sum of the maximum loads of all users in the distribution area within a period of time;
the station areas 2 and 3-level user ratio indexes are the sum of the number of users of the station areas 2 and 3-level electric quantity/the sum of the number of all power users in one year;
the charging load proportion of the electric automobile is the ratio of the maximum daily charging load of the transformer area to the distribution capacity of the transformer area;
the total energy storage capacity of the transformer area is an index, and the total energy storage capacity of the transformer area is an index of the ratio of the energy storage capacity of each user to the distribution capacity of the transformer area.
The invention also provides an energy consumption optimization platform area screening system which comprises a platform area archive information acquisition module, a platform area metering data acquisition module, a data storage module, a platform area load calculation module, a platform area peak-valley difference calculation module, a platform area distribution change load rate calculation module, a platform area classification module, an evaluation index value calculation module, an evaluation index membership calculation module, a comprehensive evaluation module and a report generation module;
the platform zone file information acquisition module acquires platform zone basic information through a data interface, data file import or manual input mode;
the distribution room metering data acquisition module performs data interaction with the electricity consumption information acquisition system through a data interface, database sharing or a data file importing mode to acquire metering data;
the data storage module stores the data acquired by the distribution area archive information acquisition module and the distribution area metering data acquisition module.
Has the advantages that: compared with the prior art, the invention has the following remarkable advantages: the station area energy consumption optimization potential evaluation can be realized according to the data acquired by the existing power consumption information acquisition system, the selected energy consumption optimization potential is larger, the station area energy consumption optimization is more suitable for developing the energy consumption optimization work, and the problems that the obtained optimization effect is limited and the energy consumption optimization cost is higher due to the fact that the energy consumption optimization is developed in the station area with the small energy consumption optimization potential are solved.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a system configuration diagram of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
The current situation of energy consumption of a low-voltage distribution area is complex and various, the low-voltage distribution area needs to be screened and classified, the distribution area with serious photovoltaic feedback situation needs to adopt means such as mobile energy storage to realize photovoltaic consumption, and the problem cannot be solved by adopting a conventional energy consumption optimization means; the distribution transformer heavy overload situation is serious due to old distribution transformer, insufficient capacity and the like in a distribution transformer area with a longer operation life, and belongs to a distribution transformer area needing capacity increasing transformation.
The method comprises the following steps of: calculating photovoltaic power-on transmission capacity ratio Rpv_reverseSetting a threshold value TRWhen R ispv_reverse>TRIf the photovoltaic feedback condition of the distribution area is considered to be serious, the distribution area can be classified into a distribution area type which can realize energy utilization optimization by means of energy storage and the like, and the expression is as follows:
Figure BDA0003155513440000041
in the formula, QreverseFor photovoltaic back-transfer of electricity (calculation method), QtotalThe total photovoltaic grid-connected electric quantity of the transformer area is obtained.
Analyzing the commissioning time of the distribution transformer by the discrimination step of the transformation area to be expanded, classifying the transformation area which has overlong running time and needs to be expanded and replaced into the transformation area to be expanded, and classifying the transformation area meeting the following conditions into the transformation area to be expanded and transformed:
Figure BDA0003155513440000042
in the formula, SiSelecting a proper value according to the average overload times of the plot for the overload times of the ith plot in the past year and S as a overload time threshold; t isiSelecting a proper value for the heavy overload time of the ith transformer area in the past year and T as a heavy overload time threshold according to the average heavy overload time of the area;
Figure BDA0003155513440000043
for the distribution run time (in years) of the ith cell,
Figure BDA0003155513440000044
maximum year of operation, T, for distribution to the ith stationrThe threshold value is used for judging the operation year of the distribution transformer.
The conventional energy consumption optimization platform area distinguishing steps can be adopted as follows: when the distribution transformer has more heavy overload times in one year and larger total duration, and the operation time of the distribution transformer is still in a proper range, the expression is as follows:
Figure BDA0003155513440000045
after classification of the distribution areas is completed, the energy utilization optimization potentials of the distribution areas are evaluated, and the method specifically comprises the following steps:
(1) maximum load index of platform area
1) Defining: load is the maximum value of the sampled load for a typical day.
2) Calculating the formula:
Figure BDA0003155513440000046
in the formula, T1，T2，…，T9696 time periods divided by a time axis (00:00-24:00) within 24 hours of 1 day;
Figure BDA0003155513440000047
is TiThe load value at the moment.
3) Membership calculation
Figure BDA0003155513440000048
Wherein MA ═ pmax-pmin，pmaxIs the maximum value of the maximum load in all the zones, pminIs the minimum value of the maximum load in all the station areas. Mu.s1、μ2To normalize the parameter, mu1The recommended value is 20%, mu2The recommended value is 80%.
(2) Monthly unbalance coefficient index
1) Defining: the daily average load of the maximum load days of each month in the year is summed, and the ratio of the daily average load to the maximum load of the maximum load days of each month is calculated. (load balance of reaction platform zone)
2) Calculating the formula:
Figure BDA0003155513440000051
in the formula, pdaDaily average load, p, of maximum load days per monthdlThe maximum load of the maximum load day of each month, i is the months of the year, and the value is from 1 to 12.
Wherein the daily average load pdaThe calculation formula is as follows:
Figure BDA0003155513440000052
in the formula, T1，T2，…，T9696 time periods divided by a time axis (00:00-24:00) within 24 hours of 1 day;
Figure BDA0003155513440000053
for the day of maximum load TiThe load value at the moment.
Daily maximum load pdlThe calculation formula is as follows:
Figure BDA0003155513440000054
3) membership calculation
Figure BDA0003155513440000055
(3) Average daily peak-to-valley rate index
1) Defining: average of the ratio of the difference between daily maximum load and minimum load to daily maximum load over the time period.
2) Calculating the formula:
Figure BDA0003155513440000056
wherein T1, T2, …, T96 are 96 time periods dividing a time axis (00:00-24:00) within 24 hours of 1 day; pTiAnd j is the load value at the moment Ti, j is the jth day in the time period, the value is from 1 to N, and N is the total number of days of statistics.
3) Membership calculation
Figure BDA0003155513440000061
In the formula, mu1、μ2To normalize the parameter, mu1Can be 30%, mu2The value can be taken to be 90%.
(4) Annual maximum load rate index of distribution transformer
1) Defining: annual maximum load to rated power ratio.
2) Calculating the formula:
Figure BDA0003155513440000062
in the formula, SymaxThe maximum load point of the transformer year, and Se is the rated capacity of the transformer.
3) Membership calculation
Figure BDA0003155513440000063
In the formula, mu1、μ2To normalize the parameter, mu1Can be 30%, mu2The value can be 70%.
(5) Distribution transformer annual average load rate index
1) Defining: the ratio of the average annual load to the rated power.
2) Calculating the formula:
Figure BDA0003155513440000064
in the formula, PyaveThe average annual power of the transformer, and Pe the rated power of the transformer.
3) Membership calculation
Figure BDA0003155513440000065
In the formula, mu1、μ2To normalize the parameter, mu1Can be 35%, mu2The value can be 65%.
(6) Typical day maximum load moment resident load ratio index
1) Defining: the ratio of the resident load to the load of the whole transformer area on the maximum load day and the maximum load moment of the transformer area within one year. (considering not to contain electric vehicle load)
2) Calculating the formula:
Figure BDA0003155513440000071
in the formula, PdlThe maximum load of a certain user at the time of the maximum load day is 1 to n, wherein i is the number of all users in the transformer area, j is the number of all residents in the transformer area, and m is the number of all the residents in the transformer area.
3) Membership calculation
Figure BDA0003155513440000072
In the formula, mu1、μ2To normalize the parameter, mu1Can be 40%, mu2The value can be 80%.
(7) Load coincidence rate index
1) Defining: and the ratio of the maximum load of the transformer area to the sum of the maximum loads of all users in the transformer area in a period of time. The greater the potential. (the ratio of the sum of the distribution capacity and the average capacity of a household can be considered when developing the system)
2) Calculating the formula:
Figure BDA0003155513440000073
in the formula, pcmaxIs the sampling value with the maximum load of a station area in a period of time, pmaxi is the maximum load of a user in the cell, i is from 1 to nAnd n is the total number of users.
3) Membership calculation
Figure BDA0003155513440000074
In the formula, mu1、μ2To normalize the parameter, mu1Can be taken as 20%, mu2The value can be taken as 50%.
(8) Station area 2, 3 grade user ratio index
1) Defining: and in one year, the sum of the number of users of the station areas with the electric quantity of 2 and 3 grades/the sum of the number of all power users.
2) Calculating the formula:
Figure BDA0003155513440000075
in the formula, n2The number of users of 2 grades of electric quantity in a year, n3The number of users with 2 grades of electric quantity in one year, and n is the total number of the users.
3) Membership calculation
Figure BDA0003155513440000081
In the formula, mu1、μ2To normalize the parameter, mu1Can be taken as 20%, mu2The value can be taken as 50%.
(9) Charging load ratio of electric automobile
1) Defining: the ratio of the daily maximum charging load of the distribution area to the distribution capacity of the distribution area. (the simultaneous rate of charging piles is generally not more than 0.2, and the annual utilization rate is not more than 5.3%)
2) Calculating the formula:
Figure BDA0003155513440000082
in the formula, pevmFor the maximum charging load of the electric automobile in the platform area within a period of timeAnd Q is the distribution capacity of the station area.
3) Membership calculation
Figure BDA0003155513440000083
In the formula, mu1、μ2To normalize the parameter, mu2The value can be taken as 10%.
(10) Total energy storage capacity of distribution room
1) Defining: the ratio of the energy storage capacity to the distribution capacity of each user in the cell.
2) Formula for calculation
Figure BDA0003155513440000084
In the formula, sesAnd l is the energy storage capacity of a certain user, and the number of the energy storage users.
3) Membership calculation
Figure BDA0003155513440000085
Wherein MS ═ max (S)esp) The maximum value of the energy storage capacity in all the station areas participating in the evaluation is obtained. Mu.s1、μ2To normalize the parameter, mu1Can be taken as 10%, mu2And may take the value 0.
If the electric steam charging pile or the energy storage resource does not exist in the transformer area, the two index values are both 0.
After the indexes are calculated, the weight of each index is determined by using an analytic hierarchy process, and the weight is calculated to be omega ═ omega1,ω2,…,ω10}。
And obtaining the energy consumption optimization potential evaluation value of each station area by weighting and calculating the index value, wherein the calculation method comprises the following steps:
Figure BDA0003155513440000091
in the above formula, PiOptimizing potential index value omega for energy usage of ith station zonejIs the weight coefficient of the jth index, μijIs the value of the jth index of the ith cell.
Calculating an optimization potential index value P of each station area in all the station areas classified as available energy optimizationiAnd sorting is carried out, and a station area with a larger potential index value is selected according to a sorting result to carry out energy utilization optimization.
The invention also provides a low-voltage transformer area energy consumption optimization potential evaluation system which comprises a transformer area archive information acquisition module, a transformer area metering data acquisition module, a data storage module, a transformer area load calculation module, a transformer area peak-valley difference calculation module, a transformer area distribution load rate calculation module, a transformer area classification module, an evaluation index value calculation module, an evaluation index membership calculation module, a comprehensive evaluation module and a report generation module, and can realize the analysis and evaluation of transformer area energy consumption optimization potential and give energy consumption optimization suggestions; the functions of the modules are as follows:
a zone file information acquisition module: the method comprises the steps of obtaining the file information of the distribution area, obtaining basic file information of the distribution area through a data interface mode, a data file importing mode or a manual input mode, wherein the basic file information comprises the installation conditions of distribution area users, distribution area distribution transformer operation and maintenance conditions, distribution transformer file data, electric automobile charging piles, photovoltaic equipment and the like.
A distribution room measurement data acquisition module: and acquiring the metering data of each ammeter in the transformer area. The method can be used for interacting with a power consumption information acquisition system through a data interface, a database sharing mode and the like to obtain metering data, and can also be used for obtaining the metering data of the electric energy meter in a distribution room through a data file import mode and the like, wherein the obtained data comprises a 96-point power value, an electric quantity value, a user electricity purchase record, a reverse transmission electric quantity value and an internet electric quantity value of a photovoltaic electric meter, a charging electric quantity value of an electric automobile electric meter and a charging and discharging electric quantity value of an energy storage electric meter. The platform area load calculation module, the platform area peak-valley difference calculation module and the platform area distribution transformation load rate calculation module are calculation modules working in parallel and are specially used for calculating numerical values with high complexity.
A data storage module: the storage module stores the data acquired by the distribution area archive information acquisition module and the distribution area metering data acquisition module.
A platform area classification module: according to the load calculation module of the transformer area: and calculating the load values of the transformer area according to the transformer area metering data in the data storage module, wherein the load values comprise the annual maximum load, the average load of the annual maximum load day, the monthly maximum load, the average load of the monthly maximum load day, the annual maximum load of the family user and the like.
A platform area peak-valley difference calculation module: and calculating the daily load peak-valley difference of the distribution room according to the distribution room metering data in the data storage module, and calculating the daily average peak-valley difference rate.
The distribution transformer load rate calculation module: the distribution transformer annual average load rate classification algorithm is used for calculating distribution transformer annual average load rate indexes, and classifying all transformer areas to be evaluated according to 96-point power data of each day measured by the electricity meters of the distribution transformers in the transformer areas, which is acquired by the measurement data acquisition module.
An evaluation index value calculation module: other index values are calculated according to an evaluation index calculation method.
An evaluation index membership calculation module: and calculating all index value membership values according to an evaluation index membership calculation method.
A comprehensive evaluation module: and calculating the comprehensive evaluation values of all the areas to be evaluated according to the membership values of the indexes, and sequencing according to the comprehensive evaluation values.
A report generation module: and generating an evaluation report according to the membership value of each index of each distribution area.

Claims (8)

1. The method for evaluating the energy consumption optimization potential of the low-voltage transformer area is characterized by comprising the following steps of: screening an optimizable transformer area based on the information and the metering data of each transformer area, and evaluating the energy utilization optimization potential of the optimizable transformer area; and sequencing the optimization potentials of all the optimized transformer areas, and sequentially optimizing the energy consumption of the transformer areas according to the sequence from large to small of the optimization potentials.
2. The method for evaluating the energy consumption optimization potential of the low-voltage transformer area according to claim 1, wherein the optimizable transformer area comprises a transformer area which is serious in photovoltaic feedback, is to be subjected to capacity expansion and transformation and can be optimized by conventional energy consumption.
3. The method for evaluating the energy consumption optimization potential of the low-voltage transformer area according to claim 1, wherein the screening step of the transformer area with serious photovoltaic feedback is as follows:
calculating photovoltaic power-on transmission capacity ratio Rpv_reverseSetting a threshold value TRWhen R ispv_reverse>TRAnd then, the photovoltaic power transmission is a severe photovoltaic power transmission area, and the photovoltaic power transmission capacity ratio is calculated according to the following formula:
Figure FDA0003155513430000011
in the formula, QreverseFor photovoltaic back-transfer of electricity (calculation method), QtotalThe total photovoltaic grid-connected electric quantity of the transformer area is obtained.
4. The method for evaluating the energy consumption optimization potential of the low-voltage transformer area according to claim 1, wherein the screening step of the transformer area to be subjected to capacity expansion and transformation comprises the following steps: analyzing the commissioning time of the distribution transformer, and classifying the distribution areas meeting the following conditions into the distribution areas to be subjected to capacity expansion transformation:
Figure FDA0003155513430000012
in the formula, SiSelecting a proper value according to the average overload times of the plot for the overload times of the ith plot in the past year and S as a overload time threshold; t isiSelecting a proper value for the heavy overload time of the ith transformer area in the past year and T as a heavy overload time threshold according to the average heavy overload time of the area;
Figure FDA0003155513430000013
for the ith stationThe service life of the distribution transformer is prolonged,
Figure FDA0003155513430000014
maximum year of operation, T, for distribution to the ith stationrThe threshold value is used for judging the operation year of the distribution transformer.
5. The method for evaluating the energy consumption optimization potential of the low-voltage transformer area according to claim 4, wherein the screening step of the transformer area to be subjected to capacity expansion and transformation comprises the following steps: analyzing the commissioning time of the distribution transformer, and classifying the distribution areas meeting the following conditions into the distribution areas to be subjected to capacity expansion transformation:
Figure FDA0003155513430000015
6. the method for evaluating the energy consumption optimization potential of the low-voltage transformer area according to claim 1, wherein the evaluation of the energy consumption optimization potential of the transformer area comprises the following steps:
respectively calculating the evaluation index values and the membership degrees of the distribution areas, and obtaining the energy use optimization potential evaluation value of each distribution area by weighting the calculation index values, wherein the calculation formula is as follows:
Figure FDA0003155513430000021
in the above formula, PiOptimizing potential index value omega for energy usage of ith station zonejIs the weight coefficient of the jth index, μijIs the membership value of the j index of the ith station area.
7. The method for evaluating the energy use optimization potential of the low-voltage transformer area according to claim 6, wherein the index value comprises:
the maximum load index of the transformer area is the maximum value of the sampling load of a typical day of the load;
a monthly imbalance coefficient index which is a ratio of a sum of daily average loads of monthly maximum load days of a year to a sum of maximum loads of monthly maximum load days;
a daily average peak-to-valley rate index, the daily average peak-to-valley rate index being an average of a ratio of a difference between a daily maximum load and a daily minimum load to a daily maximum load over a period of time;
the annual maximum load rate index of the distribution transformer is the ratio of annual maximum load to rated power;
the distribution transformer annual average load rate index of the distribution transformer is the ratio of annual average load to rated power;
the resident load proportion index at the maximum load moment of the typical day is the ratio of the maximum load day of the year, the maximum load moment of the transformer area and the resident load to the load of the whole transformer area;
a load synchronization rate index, wherein the load synchronization rate index is a ratio of the maximum load of a distribution area to the sum of the maximum loads of all users in the distribution area within a period of time;
the station areas 2 and 3-level user ratio indexes are the sum of the number of users of the station areas 2 and 3-level electric quantity or the sum of the number of all power users in one year;
the charging load proportion of the electric automobile is the ratio of the maximum daily charging load of the transformer area to the distribution capacity of the transformer area;
the total energy storage capacity of the transformer area is an index, and the total energy storage capacity of the transformer area is an index of the ratio of the energy storage capacity of each user to the distribution capacity of the transformer area.
8. An energy consumption optimization platform area screening system is characterized by comprising a platform area archive information acquisition module, a platform area metering data acquisition module, a data storage module, a platform area load calculation module, a platform area peak-valley difference calculation module, a platform area distribution change load rate calculation module, a platform area classification module, an evaluation index value calculation module, an evaluation index membership calculation module, a comprehensive evaluation module and a report generation module;
the platform zone file information acquisition module acquires platform zone basic information through a data interface, data file import or manual input mode;
the distribution room metering data acquisition module performs data interaction with the electricity consumption information acquisition system through a data interface, database sharing or a data file importing mode to acquire metering data;
the data storage module stores the data acquired by the distribution area archive information acquisition module and the distribution area metering data acquisition module.
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