CN108921438B - Power distribution network regulation and control management weak link identification method based on cascade weight - Google Patents

Power distribution network regulation and control management weak link identification method based on cascade weight Download PDF

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CN108921438B
CN108921438B CN201810752178.XA CN201810752178A CN108921438B CN 108921438 B CN108921438 B CN 108921438B CN 201810752178 A CN201810752178 A CN 201810752178A CN 108921438 B CN108921438 B CN 108921438B
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power distribution
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殷自力
陈宇星
王清凉
张功林
王晓辉
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China Electric Power Research Institute Co Ltd CEPRI
State Grid Fujian Electric Power Co Ltd
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State Grid Fujian Electric Power Co Ltd
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Abstract

The invention relates to a power distribution network regulation and control management weak link identification method based on cascade weight, which comprises the steps of firstly, calculating the cascade weight of basic indexes of the power distribution network regulation and control management based on a hierarchical analysis structure; then, calculating the inter-stage index connection weight of the power distribution network regulation and control management layer by adopting an entropy weight method; and finally, calculating the contribution values of the basic indexes according to the calculation results of the step S1 and the step S2, and sequencing the contribution values from low to high, wherein the lower the contribution value is, the higher the weak degree is, and therefore the weak link identification is realized. The method can scientifically and accurately identify weak links in the regulation and control management service of the power distribution network.

Description

Power distribution network regulation and control management weak link identification method based on cascade weight
Technical Field
The invention relates to the technical field of power system evaluation, in particular to a power distribution network regulation and control management weak link identification method based on cascade weights.
Background
The regulation and control management of the power distribution network is an important guarantee for ensuring the safe and stable operation of the power grid and the safety of operating personnel. With the continuous development of the scale of the power distribution network and the continuous access of new equipment such as distributed power supplies, emerging loads and the like, the regulation and control management of the power distribution network becomes more complex. At present, research results on the aspect of power distribution network regulation and control management evaluation exist in China, but as the power distribution network regulation and control management relates to multiple services such as equipment maintenance, fault treatment, abnormal operation management, power distribution automation and business expansion, and is closely coupled with various specialties such as construction, operation and maintenance, emergency repair and the like, weak links existing in the power distribution network regulation and control management are often difficult to identify.
Disclosure of Invention
In view of the above, the invention aims to provide a power distribution network regulation and control management weak link identification method based on cascade weights, which can scientifically and accurately identify weak links in power distribution network regulation and control management services.
The invention is realized by adopting the following scheme: a power distribution network regulation and control management weak link identification method based on cascade weight comprises the following steps:
step S1: calculating the cascade weight of basic indexes of the regulation and control management of the power distribution network based on the hierarchical analysis structure;
step S2: calculating the inter-level index connection weight of a power distribution network regulation and control management layer by adopting an entropy weight method;
step S3: and calculating the contribution values of the basic indexes according to the calculation results of the step S1 and the step S2, and sequencing the contribution values from low to high, wherein the lower the contribution value is, the higher the weak degree is, and therefore the weak link identification is realized.
Further, step S1 includes the steps of:
step S11: determining a hierarchical analysis structure; the hierarchical analysis structure comprises a comprehensive evaluation index, a first-level evaluation index to N-level evaluation index and a basic evaluation index, and an index system structure with L +2 layers, wherein L is a positive integer; the comprehensive evaluation index layer only has one index and expresses the whole evaluation result, other level indexes comprise a plurality of indexes, the index connection relation meets the tree structure, and only the upper and lower level indexes have connection weight and no association exists between the indexes of the same level;
step S12: calculating the cascade weight of the basic indexes of the regulation and control management of the power distribution network by adopting the following formula:
Figure BDA0001725827120000021
in the formula (I), the compound is shown in the specification,
Figure BDA0001725827120000022
represents the H-th within level HjThe concatenation weight between the individual index and the base index j,
Figure BDA0001725827120000023
is the jth index of the h layer,
Figure BDA0001725827120000024
then is
Figure BDA0001725827120000025
The upper level index of the connection, and
Figure BDA0001725827120000026
is that
Figure BDA0001725827120000027
And
Figure BDA0001725827120000028
the weight of the connection between.
Further, step S2 specifically includes the following steps:
step S21: for n evaluation objects, and
Figure BDA0001725827120000029
m lower evaluation indexes of (1), let xijThe score of the jth evaluation index of the ith evaluation object, wherein
Figure BDA00017258271200000210
The k-th index of the h-th layer, i 1,2,.. and n, j 1, 2.. and m;
step S22: and (3) heterogeneous index normalization treatment: because the dimensions and the numerical ranges of the evaluation indexes are not uniform, normalization processing should be performed before comprehensive calculation of the evaluation indexes. Considering that the evaluation index system includes both positive indicators and negative indicators (the higher the positive indicator value is, the better the negative indicator value is), the normalization processing is performed on the positive indicators and the negative indicators by using the following two formulas, where i is 1,2,.. and n, j is 1,2,. and m:
Figure BDA00017258271200000211
Figure BDA00017258271200000212
in the formula (I), the compound is shown in the specification,
Figure BDA00017258271200000213
is taken as the index of the forward direction,
Figure BDA00017258271200000214
is a negative indicator;
step S23: calculating the entropy value of each evaluation index, wherein the entropy value e of the jth evaluation indexjCalculated using the formula, where j is 1, 2.
Figure BDA0001725827120000031
In the formula (I), the compound is shown in the specification,
Figure BDA0001725827120000032
Figure BDA0001725827120000033
step S24: calculating the entropy weight of each evaluation index, wherein the entropy weight omega of the jth evaluation indexjIs calculated by the formula, wherein j ═ is1,2,...,m：
Figure BDA0001725827120000034
In the formula, when the evaluation targets have the same value on the evaluation index j, the entropy e of the evaluation index is identicaljThe maximum value is reached, but the evaluation index does not provide valuable information to the decision maker, that is, under the evaluation index, all evaluation objects are not different for the decision maker, and the entropy weight of the evaluation index is minimum and can be set to 0, that is, the evaluation index can be eliminated. Thus, take dij＝1-ejThe degree of dispersion of the jth evaluation index is shown, and the greater the degree of dispersion, the greater the degree of differentiation, and the greater the weight.
Furthermore, the contribution value of each basic index in the ith evaluation object comprehensive evaluation result is calculated by combining the evaluation score of the basic index through the power distribution network regulation and control management basic index cascade weight calculation method based on the hierarchical analysis structure and the power distribution network regulation and control management level interstage index connection weight calculation method based on the entropy weight method. Step S3 includes the following steps:
step S31: calculating the contribution value S of the jth basic index by adopting the following formulaij：
Sij＝wjpij；
In the formula, wjRepresenting the cascade weight between the comprehensive evaluation index and the jth basic index;
step S32: and sequencing the contribution values of the basic indexes from low to high, wherein the sequencing order is the weak degree sequencing of the business links corresponding to the basic indexes, and the lower the contribution value is, the higher the weak degree is, so that the weak link identification is realized.
Compared with the prior art, the invention has the following beneficial effects: the method is based on the evaluation results of basic indexes of various services in the regulation and control management of the power distribution network, provides a calculation method of the connection weight among the indexes, and realizes the calculation of the cascade weight, thereby realizing the identification of the weakness degree of the basic indexes of various services and assisting a superior scheduling mechanism to realize the scientific management and control of the regional distribution network services.
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Fig. 1 is a schematic circuit diagram of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiment provides a power distribution network regulation and control management weak link identification method based on cascade weight, which comprises the following steps:
step S1: calculating the cascade weight of basic indexes of the regulation and control management of the power distribution network based on the hierarchical analysis structure;
step S2: calculating the inter-level index connection weight of a power distribution network regulation and control management layer by adopting an entropy weight method;
step S3: and calculating the contribution values of the basic indexes according to the calculation results of the step S1 and the step S2, and sequencing the contribution values from low to high, wherein the lower the contribution value is, the higher the weak degree is, and therefore the weak link identification is realized.
In the present embodiment, step S1 includes the following steps:
step S11: determining a hierarchical analysis structure; the hierarchical analysis structure comprises a comprehensive evaluation index, a first-level evaluation index to N-level evaluation index and a basic evaluation index, and an index system structure with L +2 layers, wherein L is a positive integer; the comprehensive evaluation index layer only has one index and expresses the whole evaluation result, other level indexes comprise a plurality of indexes, the index connection relation meets the tree structure, and only the upper and lower level indexes have connection weight and no association exists between the indexes of the same level; as shown in fig. 1, fig. 1 is a schematic diagram of a three-layer structure when L is 1.
Step S12: calculating the cascade weight of the basic indexes of the regulation and control management of the power distribution network by adopting the following formula:
Figure BDA0001725827120000051
in the formula (I), the compound is shown in the specification,
Figure BDA0001725827120000052
represents the H-th within level HjThe concatenation weight between the individual index and the base index j,
Figure BDA0001725827120000053
is the jth index of the h layer,
Figure BDA0001725827120000054
then is
Figure BDA0001725827120000055
The upper level index of the connection, and
Figure BDA0001725827120000056
is that
Figure BDA0001725827120000057
And
Figure BDA0001725827120000058
the weight of the connection between.
In this embodiment, step S2 specifically includes the following steps:
step S21: for n evaluation objects, and
Figure BDA0001725827120000059
m lower evaluation indexes of (1), let xijThe score of the jth evaluation index of the ith evaluation object, wherein
Figure BDA00017258271200000510
The k-th index of the h-th layer, i 1,2,.. and n, j 1, 2.. and m;
step S22: and (3) heterogeneous index normalization treatment: because the dimensions and the numerical ranges of the evaluation indexes are not uniform, normalization processing should be performed before comprehensive calculation of the evaluation indexes. Considering that the evaluation index system includes both positive indicators and negative indicators (the higher the positive indicator value is, the better the negative indicator value is), the normalization processing is performed on the positive indicators and the negative indicators by using the following two formulas, where i is 1,2,.. and n, j is 1,2,. and m:
Figure BDA0001725827120000061
Figure BDA0001725827120000062
in the formula (I), the compound is shown in the specification,
Figure BDA0001725827120000063
is taken as the index of the forward direction,
Figure BDA0001725827120000064
is a negative indicator;
step S23: calculating the entropy value of each evaluation index, wherein the entropy value e of the jth evaluation indexjCalculated using the formula, where j is 1, 2.
Figure BDA0001725827120000065
In the formula (I), the compound is shown in the specification,
Figure BDA0001725827120000066
Figure BDA0001725827120000067
step S24: calculating the entropy weight of each evaluation index, wherein the entropy weight omega of the jth evaluation indexjCalculated using the formula, where j is 1, 2.
Figure BDA0001725827120000068
In the formula, when the evaluation targets have the same value on the evaluation index j, the entropy e of the evaluation index is identicaljThe maximum value is reached, but the evaluation index does not provide valuable information to the decision maker, that is, under the evaluation index, all evaluation objects are not different for the decision maker, and the entropy weight of the evaluation index is minimum and can be set to 0, that is, the evaluation index can be eliminated. Thus, take dij＝1-ejThe degree of dispersion of the jth evaluation index is shown, and the greater the degree of dispersion, the greater the degree of differentiation, and the greater the weight.
In this embodiment, the contribution value of each basic index in the i-th evaluation object comprehensive evaluation result is calculated by combining the evaluation score of the basic index through the aforementioned hierarchical analysis structure-based power distribution network regulation and control management basic index cascade weight calculation method and the entropy weight method-based power distribution network regulation and control management level-level index connection weight calculation method. Step S3 includes the following steps:
step S31: calculating the contribution value S of the jth basic index by adopting the following formulaij：
Sij＝wjpij；
In the formula, wjRepresenting the cascade weight between the comprehensive evaluation index and the jth basic index;
step S32: and sequencing the contribution values of the basic indexes from low to high, wherein the sequencing order is the weak degree sequencing of the business links corresponding to the basic indexes, and the lower the contribution value is, the higher the weak degree is, so that the weak link identification is realized.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.

Claims (3)

1. A power distribution network regulation and control management weak link identification method based on cascade weight is characterized by comprising the following steps: the method comprises the following steps:
step S1: calculating the cascade weight of basic indexes of the regulation and control management of the power distribution network based on the hierarchical analysis structure;
step S2: calculating the inter-level index connection weight of a power distribution network regulation and control management layer by adopting an entropy weight method;
step S3: calculating the contribution values of the basic indexes according to the calculation results of the step S1 and the step S2, and sequencing the contribution values from low to high, wherein the lower the contribution value is, the higher the weak degree is, so that weak link identification is realized;
step S1 includes the following steps:
step S11: determining a hierarchical analysis structure; the hierarchical analysis structure comprises a comprehensive evaluation index, a first-level evaluation index to N-level evaluation index and a basic evaluation index, and an index system structure with L +2 layers, wherein L is a positive integer; the comprehensive evaluation index layer only has one index and expresses the whole evaluation result, other level indexes comprise a plurality of indexes, the index connection relation meets the tree structure, and only the upper and lower level indexes have connection weight and no association exists between the indexes of the same level;
step S12: calculating the cascade weight of the basic indexes of the regulation and control management of the power distribution network by adopting the following formula:
Figure FDA0003235829100000011
in the formula (I), the compound is shown in the specification,
Figure FDA0003235829100000012
represents the H-th within level HjThe concatenation weight between the individual index and the base index j,
Figure FDA0003235829100000013
is the jth index of the h layer,
Figure FDA0003235829100000014
then is
Figure FDA0003235829100000015
The upper level index of the connection, and
Figure FDA0003235829100000016
is that
Figure FDA0003235829100000017
And
Figure FDA0003235829100000018
the weight of the connection between.
2. The method for identifying weak links in regulation and control management of the power distribution network based on the cascade weights as claimed in claim 1, wherein the method comprises the following steps: step S2 specifically includes the following steps:
step S21: for n evaluation objects, and
Figure FDA0003235829100000019
m lower evaluation indexes of (1), let xijThe score of the jth evaluation index of the ith evaluation object, wherein
Figure FDA00032358291000000110
The k-th index of the h-th layer, i 1,2,.. and n, j 1, 2.. and m;
step S22: and (3) heterogeneous index normalization treatment: the normalization processing is performed on the positive indicator and the negative indicator by using the following two formulas, wherein i is 1, 2.
Figure FDA00032358291000000111
Figure FDA00032358291000000112
In the formula (I), the compound is shown in the specification,
Figure FDA0003235829100000021
is taken as the index of the forward direction,
Figure FDA0003235829100000022
is a negative indicator;
step S23: calculating the entropy value of each evaluation index, wherein the entropy value e of the jth evaluation indexjCalculated using the formula, where j is 1, 2.
Figure FDA0003235829100000023
In the formula (I), the compound is shown in the specification,
Figure FDA0003235829100000024
Figure FDA0003235829100000025
step S24: calculating the entropy weight of each evaluation index, wherein the entropy weight omega of the jth evaluation indexjCalculated using the formula, where j is 1, 2.
Figure FDA0003235829100000026
In the formula (d)ij＝1-ejThe degree of dispersion of the jth evaluation index is shown.
3. The method for identifying weak links in regulation and control management of the power distribution network based on the cascade weights as claimed in claim 2, wherein the method comprises the following steps: step S3 includes the following steps:
step S31: calculating the contribution value S of the jth basic index by adopting the following formulaij：
Sij＝wjpij；
In the formula, wjRepresenting the cascade weight between the comprehensive evaluation index and the jth basic index;
step S32: and sequencing the contribution values of the basic indexes from low to high, wherein the sequencing order is the weak degree sequencing of the business links corresponding to the basic indexes, and the lower the contribution value is, the higher the weak degree is, so that the weak link identification is realized.
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