CN111415090A - Comprehensive evaluation method for main power distribution network - Google Patents

Comprehensive evaluation method for main power distribution network Download PDF

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CN111415090A
CN111415090A CN202010200073.0A CN202010200073A CN111415090A CN 111415090 A CN111415090 A CN 111415090A CN 202010200073 A CN202010200073 A CN 202010200073A CN 111415090 A CN111415090 A CN 111415090A
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徐伟
左宏基
段文辉
熊化化
李耀先
邹峰恩
黄志勇
段慧芹
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Xinyang Power Supply Co of State Grid Henan Electric Power Co Ltd
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Abstract

The invention relates to a comprehensive evaluation method for a main power distribution network, which comprises the following steps: acquiring a plurality of evaluation indexes used for comprehensive evaluation of the main power distribution network, namely each evaluation index of the multi-dimensional evaluation indexes; the method comprises the steps of obtaining a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer comprising a plurality of evaluation indexes, a sub-item content layer of the target layer and a sub-item factor layer of the content layer according to the mutual correlation influence and membership among elements; determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process; and carrying out hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property by a fuzzy comprehensive evaluation method, and evaluating based on the numerical value of each evaluation index and the weight of the evaluation index. The comprehensive evaluation method and the comprehensive evaluation device for the main distribution network realize scientific evaluation and visual display of multi-index evaluation objects, and are simple in evaluation mode and objective and effective in evaluation results.

Description

Comprehensive evaluation method for main power distribution network
Technical Field
The invention relates to the technical field of power distribution network operation, in particular to a comprehensive evaluation method for a main power distribution network.
Background
With the gradual formation of the electric power market, the economical efficiency of the operation of the power grid is more and more important, and the economical efficiency of the operation of the power grid is more and more important. In addition, with the change of the power load, the originally planned power grid is not necessarily suitable for the development condition of the current load.
Therefore, in order to enable the power grid to operate safely and reliably and meet the requirement of economic benefit, the economic operation, construction and transformation of the power grid can be better indicated, and the economic efficiency of the power grid operation needs to be analyzed. Therefore, it is urgently needed to provide a comprehensive evaluation method and device for a main power distribution network to find weak links in power grid operation management and provide technical and decision support for planning construction and production operation of a power grid.
Disclosure of Invention
The invention aims to provide a comprehensive evaluation method for a main distribution network, which is simple in evaluation mode and objective and effective in evaluation result.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
on the one hand, a comprehensive evaluation method for a main power distribution network is provided, and comprises the following steps:
acquiring a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network, wherein each evaluation index represents an evaluation index of one dimension;
the method comprises the steps of obtaining a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer, a content layer and a factor layer according to mutual correlation influence and membership among elements, wherein the target layer comprises a plurality of evaluation indexes, the content layer is a sub-item of the target layer, and the factor layer is a sub-item of the content layer;
determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process;
and carrying out hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property by a fuzzy comprehensive evaluation method, and evaluating based on the numerical value of each evaluation index and the weight of the evaluation index.
As a further improvement of the invention, the determining the weight corresponding to each index contained in each hierarchy by the improved analytic hierarchy process comprises the following steps:
for each layer, comparing evaluation indexes contained in the layer pairwise by adopting a 1-9 digital scale method according to a preset criterion to establish a judgment matrix A;
taking the corresponding maximum eigenvalue lambda according to the formula Aw ═ lambda wmaxAnd performing normalization processing on the feature vector w, and taking a numerical value corresponding to the normalized feature vector w as a weight corresponding to each index in the hierarchy.
As a further improvement of the present invention, the method further comprises:
and (3) checking the consistency of the judgment matrix A by adopting the following formula:
Figure BDA0002419052120000021
CR＝CI/RI；
wherein CR represents the random consistency ratio of matrix a; n represents a stage; and RI represents an average random consistency index and corresponds to the order n one by one.
As a further improvement of the present invention, the method for hierarchically classifying each evaluation index affecting the operation of the power transmission network by properties through a fuzzy comprehensive evaluation method, and performing evaluation layer by layer based on the value of each evaluation index and the weight of the evaluation index includes:
for each single factor in the factor layer, collecting and calculating basic data of each single factor index, and calculating the score of each single factor index by adopting a fuzzy set theory;
determining the weight of each index in the content layer, and calculating the score of each index based on the weight of each index and the scores of a plurality of single-factor indexes under the index;
determining the weight of each evaluation index of the target layer, calculating the score of each evaluation index based on the weight of each evaluation index and the scores of a plurality of single indexes under the evaluation index, and determining the evaluation effect according to the scores.
As a further improvement of the present invention, for each single factor in the factor layer, collecting and calculating basic data of each single factor index, and calculating a score of each single factor index by using a fuzzy set theory, the method includes:
collecting and calculating the basic data of each single-factor index, and inputting the basic data of the single-factor index into a preset membership function model to obtain a membership function mu for each single-factor index1，μ2，μ3Wherein, mu1，μ2，μ3Respectively representing that each single-factor index basic data belongs to better, medium and worse membership degrees respectively;
and calculating the score of the single-factor index based on the single-factor index basic data and the membership degree.
On the other hand, a comprehensive evaluation device for a main distribution network is provided, which comprises:
the evaluation index acquisition module is used for acquiring a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network, and each evaluation index represents one-dimensional evaluation index;
the system comprises a hierarchical division module, a parameter layer evaluation module and a parameter layer evaluation module, wherein the hierarchical division module is used for acquiring a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer, a content layer and a factor layer according to the mutual correlation influence and membership among elements, wherein the target layer comprises a plurality of evaluation indexes, the content layer is a sub-item of the target layer, and the factor layer is a sub-item of the content layer;
the weight acquisition module is used for determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process;
and the evaluation module is used for carrying out hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property through a fuzzy comprehensive evaluation method, and carrying out evaluation on the basis of the numerical value of each evaluation index and the weight of the evaluation index.
As a further improvement of the present invention, the weight obtaining module includes:
the matrix establishing unit is used for comparing evaluation indexes contained in each layer in pairs by adopting a 1-9 digital scale method according to a preset criterion to establish a judgment matrix A;
a weight obtaining unit for obtaining the corresponding maximum eigenvalue λ according to the formula Aw ═ λ wmaxAnd performing normalization processing on the feature vector w, and taking a numerical value corresponding to the normalized feature vector w as a weight corresponding to each index in the hierarchy.
As a further improvement of the present invention, the weight obtaining module further includes:
the checking unit is used for checking the consistency of the judgment matrix A by adopting the following formula:
Figure BDA0002419052120000031
CR＝CI/RI；
wherein CR represents the random consistency ratio of matrix a; n represents a stage; and RI represents an average random consistency index and corresponds to the order n one by one.
As a further improvement of the present invention, the evaluation module includes:
the first score calculating unit is used for collecting and calculating basic data of each single-factor index for each single factor in the factor layer and calculating the score of each single-factor index by adopting a fuzzy set theory;
a second score calculation unit configured to determine a weight of each index in the content layer, and calculate a score of each index based on the weight of each index and scores of the plurality of single-factor indexes under the index;
and the evaluation unit is used for determining the weight of each evaluation index of the target layer, calculating the score of each evaluation index based on the weight of each evaluation index and the scores of a plurality of single indexes under the evaluation indexes, and determining the evaluation effect according to the scores.
As a further improvement of the present invention, the first score calculating unit is further configured to:
collecting and calculating the basic data of each single-factor index, and inputting the basic data of the single-factor index into a preset membership function model to obtain a membership function mu for each single-factor index1，μ2，μ3Wherein, mu1，μ2，μ3Respectively representing that each single-factor index basic data belongs to better, medium and worse membership degrees respectively;
and calculating the score of the single-factor index based on the single-factor index basic data and the membership degree. .
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
according to the comprehensive evaluation method for the main power distribution network, provided by the invention, a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network are obtained, namely each evaluation index of the multi-dimensional evaluation indexes; the method comprises the steps of obtaining a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer comprising a plurality of evaluation indexes, a sub-item content layer of the target layer and a sub-item factor layer of the content layer according to the mutual correlation influence and membership among elements; determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process; and carrying out hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property by a fuzzy comprehensive evaluation method, and evaluating based on the numerical value of each evaluation index and the weight of the evaluation index.
(1) And a comprehensive evaluation index system of the power grid economy covering the power grid multi-dimensional target is established.
(2) An improved analytic hierarchy process is adopted and applied to determination of the economic index weight of the power grid, and a method and a process for comprehensive evaluation of economic indexes of the power grid are formulated.
(3) Scientific evaluation and quantitative grading of the economic characteristics of the power grid are carried out by using a fuzzy comprehensive evaluation method, scientific evaluation and visual display of multi-index evaluation objects are realized, the evaluation mode is simple, and the evaluation result is objective and effective.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for comprehensively evaluating a main distribution network according to an embodiment of the present invention.
Fig. 2 is a structural diagram of a fuzzy comprehensive evaluation index provided by an embodiment of the present invention.
FIG. 3 is a graph of a first membership function provided by an embodiment of the present invention.
FIG. 4 is a graph of a second membership function provided by an embodiment of the present invention.
FIG. 5 is a graph of a third membership function provided by an embodiment of the present invention.
Fig. 6 is a configuration diagram of a main distribution network comprehensive evaluation device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail and fully with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a flowchart of a method for comprehensively evaluating a main distribution network according to an embodiment of the present invention. As shown in fig. 1, it includes:
s101: and acquiring a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network.
Each evaluation index represents one-dimensional evaluation index, so that the comprehensive evaluation method for the main distribution network obtains the multi-dimensional evaluation index.
The plurality of evaluation indexes comprise transmission grid loss indexes, network load indexes and power grid reliability indexes, and comprise N-1 passage rate, N-2 passage rate, short-circuit current qualification rate, system spare rate, average availability margin of a critical section, availability coefficient of a main power transmission line, availability coefficient of a main transformer, power angle stable fault passage rate, voltage stable fault passage rate, power communication guarantee rate, relay protection action reliability rate, emergency guarantee system effective rate, voltage qualification rate, frequency qualification rate, load rate, line loss rate, average maximum capacity-to-load ratio of a transformer, average maximum utilization rate of a transmission line, power scale, power growth rate, unit transmission cost, unit transmission profit and profit rate.
S102: the method comprises the steps of obtaining the problems to be evaluated, decomposing the problems from high level to low level step by step, and dividing the problems into a target layer, a content layer and a factor layer according to the mutual correlation influence and membership among elements.
The target layer comprises a plurality of evaluation indexes, the content layer is a sub-item of the target layer, and the factor layer is a sub-item of the content layer, so that the whole system is decomposed into a pyramid tree-shaped hierarchical structure.
For example: the first layer is a target layer and is represented by A, and the target layer comprises a plurality of evaluation indexes; the second layer is a content layer, using Ak(k ═ 1,2, …, m) where m is the number of rating content layers, each item of rating content further containing several sub-items; the third layer is a factor layer, using Akj(j＝1,2,......,pk) Is represented by the formula, wherein pkTo evaluate the content layer AkThe total number of factors included, the fuzzy comprehensive evaluation index system is shown in fig. 2.
S103: and determining the weight corresponding to each index contained in each hierarchy by using an improved analytic hierarchy process.
Including but not limited to the following steps:
s1031: and for each layer, comparing every two evaluation indexes contained in the layer by adopting a 1-9 digital scale method according to a preset criterion to establish a judgment matrix A.
Wherein, each level adopts a 1-9 digital scale method to compare every two elements of the level to establish a judgment matrix A according to a certain criterion (for example, the reliability, the economy and the like of the power grid operation are taken as one level, and the equipment availability and the frequency deviation can be the criterion of the next level of the reliability).
Element a of the decision matrix AijThe quantitative value of the index i (e.g., availability of important lines at peak load) compared with the index j (e.g., availability of non-important lines at peak load) compared with the importance of some criterion (e.g., availability of equipment) at the previous layer is shown. Assuming that there are n indices under the criterion, the matrix a is an n × n order matrix.
aijThe value of (A) is as follows:
aij1 index i is as important as index j;
aijindex i is slightly more important than index j than index 3;
aijthe index i is more important than the index j when the index is 5;
aijthe 7 index i is much more important than the index j;
aijthe 9 index i is more important than the index j;
aijintermediate values of 2, 4, 6, 8, and aij＝1/aji(system default).
S1032: taking the corresponding maximum eigenvalue lambda according to the formula Aw ═ lambda wmaxAnd performing normalization processing on the feature vector w, and taking the numerical value corresponding to the normalized feature vector w as the weight corresponding to each index in the hierarchy.
In addition, when a judgment matrix is constructed, the two factors cannot be completely consistent, estimation errors always occur, deviation consistency is caused, and when the degree of inconsistency is large, wrong calculation results occur, so that the method further comprises the following steps:
s1033: and (3) checking the consistency of the judgment matrix A by adopting the following formula:
Figure BDA0002419052120000061
CR＝CI/RI；
wherein CR represents the random consistency ratio of matrix a; n represents a stage; RI represents an average random consistency index, corresponds to the order n one to one, and can be found by table 1.
TABLE 1
Figure BDA0002419052120000062
The judgment method comprises the following steps: when CR <0.1, judging that the matrix A has satisfactory consistency or the inconsistency degree is acceptable; otherwise, the judgment matrix A is adjusted until the satisfactory consistency is achieved.
S104: and carrying out hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property by a fuzzy comprehensive evaluation method, and evaluating based on the numerical value of each evaluation index and the weight of the evaluation index.
Including but not limited to the following steps:
and S1041, for each single factor in the factor layer, collecting and calculating basic data of each single factor index, and calculating the score of each single factor index by adopting a fuzzy set theory.
The method mainly comprises the following steps:
(1) collecting and calculating basic data of each single-factor index, and inputting the basic data of the single-factor index into a preset membership function model to obtain a membership function mu for each single-factor index1，μ2，μ3Wherein, mu1，μ2，μ3Respectively representing that the basic data of each single-factor index belong to better, medium and worse membership degrees respectively.
Namely, after the comprehensive evaluation device of the main power distribution network obtains each single-factor index, a membership function model is determined according to the actual operation data of the power grid index, and a membership function is determined.
Three preset membership function models are preset in the comprehensive evaluation method of the main power distribution network:
first, for the factors that the smaller the index value, the better, the membership function curve is shown in FIG. 3, where the abscissa represents the value of the single factor index and the ordinate represents the single factor belonging to the better μ1Medium mu2Poor mu3Is a number of intervals and satisfies mu1+μ2+μ3＝1。
The membership function is shown below:
Figure BDA0002419052120000071
Figure BDA0002419052120000072
Figure BDA0002419052120000073
second, for the factors that the larger the index value is, the better, the membership function curve is shown in FIG. 4, in which the abscissa represents the value of the single factor index and the ordinate represents the single factor belonging to the better μ1Medium mu2Poor mu3Is a number of intervals and satisfies mu1+μ2+μ3＝1。
The membership function is shown below:
Figure BDA0002419052120000081
Figure BDA0002419052120000082
Figure BDA0002419052120000083
thirdly, applicable to the factors that the larger the index value is, the better the index value is, the membership function curve is shown in fig. 5, wherein the abscissa represents the value of the single-factor index, and the ordinate represents that the single factor belongs to the better mu1Medium mu2Poor mu3Is a number of intervals and satisfies mu1+μ2+μ3＝1。
The membership function is shown below:
Figure BDA0002419052120000084
Figure BDA0002419052120000085
Figure BDA0002419052120000086
(2) and calculating the score of the single-factor index based on the single-factor index basic data and the membership degree.
Wherein, the comprehensive evaluation device of the main distribution network determines that each secondary index belongs to good, medium and poor membership degree mu respectively1，μ2，μ3The following formula is applied to score each index.
Figure BDA0002419052120000087
S1042: determining the weight of each index in the content layer, and calculating the score of each index based on the weight of each index and the scores of a plurality of single-factor indexes under the indexes;
s1043: determining the weight of each evaluation index of the target layer, calculating the score of each evaluation index based on the weight of each evaluation index and the scores of a plurality of single indexes under the evaluation indexes, and determining the evaluation effect according to the scores.
For example: the target layer is denoted by A, the content layer is denoted by Ak(k is 1,2, …, m),where m is the number of evaluation content layers, factor layer, using Akj(j＝1,2,......,pk) Is represented by the formula, wherein pkTo evaluate the content layer AkThe evaluation process, when the total number of factors involved, is as follows:
(1) for each single factor A in the factor layerkjCollecting and calculating basic data of each single-factor (secondary index) index, and calculating an evaluation score Fkj。
(2) Determining a weight ω of each index in the content layer 1(k 1,2, …, m)kjIt is satisfied. Omegakj>0 and
Figure BDA0002419052120000091
(3) calculating content AkScore F ofk，
Figure BDA0002419052120000092
And giving an evaluation result according to the score.
(4) For the evaluation target A, the weight ω of each content is determinedk，ωk>0, and
Figure BDA0002419052120000093
(5) calculating the comprehensive score F of the evaluation,
Figure BDA0002419052120000094
and determining the evaluation effect according to the score of the target layer.
According to the comprehensive evaluation method for the main power distribution network, provided by the invention, a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network are obtained, namely each evaluation index of the multi-dimensional evaluation indexes; the method comprises the steps of obtaining a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer comprising a plurality of evaluation indexes, a sub-item content layer of the target layer and a sub-item factor layer of the content layer according to the mutual correlation influence and membership among elements; determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process; the method has the advantages that each evaluation index influencing the operation of the power transmission network is classified hierarchically according to properties through a fuzzy comprehensive evaluation method, and is evaluated based on the numerical value of each evaluation index and the weight of the evaluation index, and the method has the following beneficial effects:
(1) and a comprehensive evaluation index system of the power grid economy covering the power grid multi-dimensional target is established.
(2) An improved analytic hierarchy process is adopted and applied to determination of the economic index weight of the power grid, and a method and a process for comprehensive evaluation of economic indexes of the power grid are formulated.
(3) Scientific evaluation and quantitative grading of the economic characteristics of the power grid are carried out by using a fuzzy comprehensive evaluation method, scientific evaluation and visual display of multi-index evaluation objects are realized, the evaluation mode is simple, and the evaluation result is objective and effective.
Fig. 6 is a configuration diagram of a main distribution network comprehensive evaluation device according to an embodiment of the present invention, and as shown in fig. 6, the main distribution network comprehensive evaluation device includes:
the evaluation index acquisition module 601 is used for acquiring a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network, wherein each evaluation index represents an evaluation index of one dimension;
the hierarchical division module 602 is configured to obtain a problem to be evaluated, decompose the problem from a high level to a low level, and divide the problem into a target layer, a content layer, and a factor layer according to a correlation influence and a membership relationship between elements, where the target layer includes a plurality of evaluation indexes, the content layer is a sub-item of the target layer, and the factor layer is a sub-item of the content layer;
the weight obtaining module 603 determines the weight corresponding to each index included in each layer by an improved analytic hierarchy process;
and the evaluation module 604 is used for performing hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property by using a fuzzy comprehensive evaluation method, and evaluating based on the numerical value of each evaluation index and the weight of the evaluation index.
In a possible implementation manner, the weight obtaining module 603 includes:
the matrix establishing unit is used for comparing evaluation indexes contained in each layer in pairs by adopting a 1-9 digital scale method according to a preset criterion to establish a judgment matrix A;
a weight obtaining unit for obtaining the corresponding maximum eigenvalue λ according to the formula Aw ═ λ wmaxAnd performing normalization processing on the feature vector w, and taking the numerical value corresponding to the normalized feature vector w as the weight corresponding to each index in the hierarchy.
In a possible implementation manner, the weight obtaining module 603 further includes:
the checking unit is used for checking the consistency of the judgment matrix A by adopting the following formula:
Figure BDA0002419052120000101
CR＝CI/RI；
wherein CR represents the random consistency ratio of matrix a; n represents a stage; RI represents the average random consistency index and corresponds to the order n one by one.
In one possible implementation, the evaluation module 604 includes:
the first score calculating unit is used for collecting and calculating basic data of each single-factor index for each single factor in the factor layer and calculating the score of each single-factor index by adopting a fuzzy set theory;
the second score calculation unit is used for determining the weight of each index in the content layer and calculating the score of each index based on the weight of each index and the scores of a plurality of single-factor indexes under the indexes;
and the evaluation unit is used for determining the weight of each evaluation index of the target layer, calculating the score of each evaluation index based on the weight of each evaluation index and the scores of a plurality of single indexes under the evaluation indexes, and determining the evaluation effect according to the scores.
In one possible implementation, the first score calculating unit is further configured to:
collecting and calculating basic data of each single-factor index, and inputting the basic data of the single-factor index into a preset membership function model to obtain a membership function mu for each single-factor index1，μ2，μ3Wherein, mu1，μ2，μ3Respectively representing that the basic data of each single-factor index belong to better, medium and worse membership degrees respectively;
and calculating the score of the single-factor index based on the single-factor index basic data and the membership degree.
The comprehensive evaluation device for the main power distribution network, provided by the invention, is used for acquiring a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network, namely each evaluation index of a multi-dimensional evaluation index; the method comprises the steps of obtaining a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer comprising a plurality of evaluation indexes, a sub-item content layer of the target layer and a sub-item factor layer of the content layer according to the mutual correlation influence and membership among elements; determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process; the method has the advantages that each evaluation index influencing the operation of the power transmission network is classified hierarchically according to properties through a fuzzy comprehensive evaluation method, and is evaluated based on the numerical value of each evaluation index and the weight of the evaluation index, and the method has the following beneficial effects:
(1) and a comprehensive evaluation index system of the power grid economy covering the power grid multi-dimensional target is established.
(2) An improved analytic hierarchy process is adopted and applied to determination of the economic index weight of the power grid, and a method and a process for comprehensive evaluation of economic indexes of the power grid are formulated.
(3) Scientific evaluation and quantitative grading of the economic characteristics of the power grid are carried out by using a fuzzy comprehensive evaluation method, scientific evaluation and visual display of multi-index evaluation objects are realized, the evaluation mode is simple, and the evaluation result is objective and effective.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A comprehensive evaluation method for a main power distribution network is characterized by comprising the following steps:
acquiring a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network, wherein each evaluation index represents an evaluation index of one dimension;
the method comprises the steps of obtaining a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer, a content layer and a factor layer according to mutual correlation influence and membership among elements, wherein the target layer comprises a plurality of evaluation indexes, the content layer is a sub-item of the target layer, and the factor layer is a sub-item of the content layer;
determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process;
and carrying out hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property by a fuzzy comprehensive evaluation method, and evaluating based on the numerical value of each evaluation index and the weight of the evaluation index.
2. The comprehensive evaluation method for the main distribution network according to claim 1, wherein the determining the weight corresponding to each index contained in each level through an improved analytic hierarchy process comprises:
for each layer, comparing evaluation indexes contained in the layer pairwise by adopting a 1-9 digital scale method according to a preset criterion to establish a judgment matrix A;
taking the corresponding maximum eigenvalue lambda according to the formula Aw ═ lambda wmaxAnd performing normalization processing on the feature vector w, and taking a numerical value corresponding to the normalized feature vector w as a weight corresponding to each index in the hierarchy.
3. The comprehensive evaluation method for the main distribution network according to claim 2, further comprising:
and (3) checking the consistency of the judgment matrix A by adopting the following formula:
Figure FDA0002419052110000011
CR＝CI/RI；
wherein CR represents the random consistency ratio of matrix a; n represents a stage; and RI represents an average random consistency index and corresponds to the order n one by one.
4. The comprehensive evaluation method for the main distribution network according to claim 1, wherein each evaluation index influencing the operation of the transmission network is classified hierarchically according to properties by a fuzzy comprehensive evaluation method, and evaluation is performed layer by layer based on the value of each evaluation index and the weight of the evaluation index, and the method comprises the following steps:
for each single factor in the factor layer, collecting and calculating basic data of each single factor index, and calculating the score of each single factor index by adopting a fuzzy set theory;
determining the weight of each index in the content layer, and calculating the score of each index based on the weight of each index and the scores of a plurality of single-factor indexes under the index;
determining the weight of each evaluation index of the target layer, calculating the score of each evaluation index based on the weight of each evaluation index and the scores of a plurality of single indexes under the evaluation index, and determining the evaluation effect according to the scores.
5. The comprehensive evaluation method of the main distribution network according to claim 4, wherein for each single factor in the factor layer, collecting and calculating basic data of each single factor index, and calculating a score of each single factor index by using a fuzzy set theory comprises:
collecting and calculating the basic data of each single-factor index, and inputting the basic data of the single-factor index into a preset membership function model to obtain a membership function mu for each single-factor index1，μ2，μ3Wherein, mu1，μ2，μ3Respectively representing that each single-factor index basic data belongs to better, medium and worse membership degrees respectively;
and calculating the score of the single-factor index based on the single-factor index basic data and the membership degree.
6. The utility model provides a comprehensive evaluation device of main distribution network which characterized in that, it includes:
the evaluation index acquisition module is used for acquiring a plurality of evaluation indexes for comprehensive evaluation of the main power distribution network, and each evaluation index represents one-dimensional evaluation index;
the system comprises a hierarchical division module, a parameter layer evaluation module and a parameter layer evaluation module, wherein the hierarchical division module is used for acquiring a problem to be evaluated, decomposing the problem from a high level to a low level step by step, and dividing the problem into a target layer, a content layer and a factor layer according to the mutual correlation influence and membership among elements, wherein the target layer comprises a plurality of evaluation indexes, the content layer is a sub-item of the target layer, and the factor layer is a sub-item of the content layer;
the weight acquisition module is used for determining the weight corresponding to each index contained in each layer through an improved analytic hierarchy process;
and the evaluation module is used for carrying out hierarchical classification on each evaluation index influencing the operation of the power transmission network according to the property through a fuzzy comprehensive evaluation method, and carrying out evaluation on the basis of the numerical value of each evaluation index and the weight of the evaluation index.
7. The comprehensive evaluation method for the main power distribution network according to claim 1, wherein the weight obtaining module comprises:
the matrix establishing unit is used for comparing evaluation indexes contained in each layer in pairs by adopting a 1-9 digital scale method according to a preset criterion to establish a judgment matrix A;
a weight obtaining unit for obtaining the corresponding maximum eigenvalue λ according to the formula Aw ═ λ wmaxThe feature vector w is normalized, and the normalized feature vector w is corresponding toAnd taking the numerical value as the weight corresponding to each index in the hierarchy.
8. The comprehensive evaluation method for the main power distribution network according to claim 7, wherein the weight obtaining module further comprises:
the checking unit is used for checking the consistency of the judgment matrix A by adopting the following formula:
Figure FDA0002419052110000021
CR＝CI/RI；
wherein CR represents the random consistency ratio of matrix a; n represents a stage; and RI represents an average random consistency index and corresponds to the order n one by one.
9. The comprehensive evaluation method for the main distribution network according to claim 6, wherein the evaluation module comprises:
the first score calculating unit is used for collecting and calculating basic data of each single-factor index for each single factor in the factor layer and calculating the score of each single-factor index by adopting a fuzzy set theory;
a second score calculation unit configured to determine a weight of each index in the content layer, and calculate a score of each index based on the weight of each index and scores of the plurality of single-factor indexes under the index;
and the evaluation unit is used for determining the weight of each evaluation index of the target layer, calculating the score of each evaluation index based on the weight of each evaluation index and the scores of a plurality of single indexes under the evaluation indexes, and determining the evaluation effect according to the scores.
10. The method for comprehensively evaluating a main distribution network according to claim 9, wherein the first score calculating unit is further configured to:
collecting and calculating the basic data of each single-factor index, pairInputting the basic data of the single-factor index into a preset membership function model to obtain a membership function mu in each single-factor index1，μ2，μ3Wherein, mu1，μ2，μ3Respectively representing that each single-factor index basic data belongs to better, medium and worse membership degrees respectively;
and calculating the score of the single-factor index based on the single-factor index basic data and the membership degree.
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Cited By (5)

* Cited by examiner, † Cited by third party
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CN112001624A (en) * 2020-08-21 2020-11-27 西安西拓电气股份有限公司 Power supply reliability assessment method, device, equipment and storage medium for power distribution room
CN112132380A (en) * 2020-08-04 2020-12-25 国网陕西省电力公司经济技术研究院 Power distribution network operation efficiency evaluation method based on relevance and deviation
CN112418729A (en) * 2020-12-11 2021-02-26 广西电网有限责任公司 Rural power grid intelligent evaluation method and system
CN113177739A (en) * 2021-05-26 2021-07-27 广东电网有限责任公司 Power grid comprehensive evaluation method, device, equipment and medium
WO2023179280A1 (en) * 2022-03-24 2023-09-28 广东电网有限责任公司东莞供电局 Lean evaluation method for power grid dispatching operation

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112132380A (en) * 2020-08-04 2020-12-25 国网陕西省电力公司经济技术研究院 Power distribution network operation efficiency evaluation method based on relevance and deviation
CN112001624A (en) * 2020-08-21 2020-11-27 西安西拓电气股份有限公司 Power supply reliability assessment method, device, equipment and storage medium for power distribution room
CN112418729A (en) * 2020-12-11 2021-02-26 广西电网有限责任公司 Rural power grid intelligent evaluation method and system
CN113177739A (en) * 2021-05-26 2021-07-27 广东电网有限责任公司 Power grid comprehensive evaluation method, device, equipment and medium
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