CN117808321A - Method, device, equipment and medium for evaluating health state of power distribution network - Google Patents
Method, device, equipment and medium for evaluating health state of power distribution network Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a medium for evaluating the health state of a power distribution network, which relate to the field of power distribution network planning and comprise the steps of constructing a judgment matrix by using a analytic hierarchy process, calculating a consistency index for consistency check, and calculating a maximum eigenvector if the consistency index passes the consistency check; establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, carrying out normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating the comprehensive influence degree and calculating the comprehensive influence weight; determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy comprehensive evaluation model, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set to obtain a comprehensive score; and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights. The method can comprehensively evaluate the health state of the power distribution network in multiple aspects, and improves the accuracy and rationality of the evaluation of the health state of the power distribution network.
Description
Technical Field
The invention relates to the field of power distribution network planning, in particular to a method, a device, equipment and a medium for evaluating the health state of a power distribution network.
Background
The comprehensive evaluation research of the power distribution network planning mainly comprises the steps of establishing a comprehensive evaluation index system of the power distribution network and determining a comprehensive evaluation method. The quality and the bad of the evaluation result mainly depend on whether the established comprehensive evaluation index system and the evaluation model are scientific and reasonable. AHP (Analytic Hierarchy Process ) is a qualitative and quantitative combined decision analysis method for solving multi-objective complex problems. The AHP usually selects the index relatively independently, and often ignores the interaction between indexes. In addition, in the process of weight calculation, the conventional analytic hierarchy process often does not consider the problem of relation among indexes due to unreasonable construction of an evaluation system caused by strong subjectivity in the expert scoring process, so that the evaluation on the health state of the power distribution network is inaccurate.
From the above, how to avoid the problem of unreasonable construction of an evaluation system caused by excessively strong subjectivity, and realize comprehensive evaluation of the health status of the power distribution network in multiple aspects, thereby improving the accuracy and rationality of the evaluation of the health status of the power distribution network is a problem to be solved in the field.
Disclosure of Invention
In view of the above, the invention aims to provide a method, a device, equipment and a medium for evaluating the health status of a power distribution network, which can avoid the problem of unreasonable construction of an evaluation system caused by excessively strong subjectivity, and realize comprehensive evaluation of the health status of the power distribution network in multiple aspects, thereby improving the accuracy and rationality of evaluation of the health status of the power distribution network. The specific scheme is as follows:
in a first aspect, the application discloses an evaluation method of a power distribution network health state, which is applied to a new energy power distribution network index evaluation system, and comprises the following steps:
constructing a hierarchical structure model and a corresponding judgment matrix by using an analytic hierarchy process, calculating a consistency index based on the judgment matrix, carrying out consistency test on the consistency index and a preset average random consistency index, and calculating a maximum eigenvector based on the judgment matrix if the consistency test is passed;
establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, performing normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating comprehensive influence degree based on the comprehensive influence matrix, and calculating comprehensive influence weight according to the comprehensive influence degree;
Determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score;
and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights.
Optionally, the creating process of the new energy power distribution network index evaluation system includes:
constructing an initial new energy power distribution network index evaluation system with a multilayer structure;
and constructing a power distribution network planning index, and updating the initial new energy power distribution network index evaluation system based on a preset power supply reliability evaluation rule, a preset safety evaluation rule, a preset economic evaluation rule, a preset environmental protection evaluation rule and a preset power distribution network planning index to obtain the new energy power distribution network index evaluation system.
Optionally, the constructing the hierarchical structure model and the corresponding judgment matrix by using the analytic hierarchy process, calculating the consistency index based on the judgment matrix, and performing consistency check on the consistency index and a preset average random consistency index, including:
Constructing the hierarchical structure model by using an analytic hierarchy process, and constructing the judgment matrix corresponding to each level in the hierarchical structure model;
calculating the maximum eigenvalue of the judgment matrix, and calculating the consistency index according to the maximum eigenvalue;
and judging whether the consistency index is consistent with the average random consistency index.
Optionally, if the consistency check passes, calculating a maximum feature vector based on the judgment matrix, including:
if the consistency index is consistent with the average random consistency index, judging that the consistency test is passed, and calculating a consistency ratio based on the consistency index and the average random consistency index;
and judging whether the consistency ratio is smaller than a preset threshold value, and if so, calculating a maximum feature vector based on the maximum feature value.
Optionally, the performing normalized calculation on the direct impact matrix to obtain a comprehensive impact matrix includes:
normalizing the direct influence matrix to obtain a normalized matrix;
and calculating the normalized matrix to obtain the comprehensive influence matrix.
Optionally, the calculating the comprehensive influence degree based on the comprehensive influence matrix, calculating the comprehensive influence weight according to the comprehensive influence degree, includes:
establishing a logic relationship among all influence factors by utilizing a decision test and evaluation laboratory method;
calculating the comprehensive influence degree based on the comprehensive influence matrix and the logic relation; the comprehensive influence degree comprises factor influence degree, influenced degree, centrality and reason degree;
and calculating the comprehensive influence weight according to the factor influence degree, the influenced degree, the centrality and the cause degree.
Optionally, the calculating the score of the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score includes:
performing numerical quantization operation on the evaluation set to obtain the evaluation set after numerical quantization;
and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set after numerical quantization by using the fuzzy comprehensive evaluation model to obtain a comprehensive score.
In a second aspect, the application discloses an evaluation device of a power distribution network health state, which is applied to a new energy power distribution network index evaluation system, and comprises:
The feature vector calculation module is used for constructing a hierarchical structure model and a corresponding judgment matrix by using a hierarchical analysis method, calculating a consistency index based on the judgment matrix, carrying out consistency test on the consistency index and a preset average random consistency index, and calculating a maximum feature vector based on the judgment matrix if the consistency test is passed;
the weight calculation module is used for establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, carrying out normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating the comprehensive influence degree based on the comprehensive influence matrix, and calculating the comprehensive influence weight according to the comprehensive influence degree;
the scoring calculation module is used for determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score;
and the state evaluation module is used for calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by utilizing the comprehensive weights.
In a third aspect, the present application discloses an electronic device comprising:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the method for evaluating the health state of the power distribution network.
In a fourth aspect, the present application discloses a computer storage medium for storing a computer program; the computer program, when executed by the processor, implements the steps of the method for evaluating the health status of the power distribution network disclosed above.
As can be seen, the present application provides a method for evaluating a health status of a power distribution network, including constructing a hierarchical structure model and a corresponding judgment matrix by using a hierarchical analysis method, calculating a consistency index based on the judgment matrix, performing a consistency test on the consistency index and a preset average random consistency index, and if the consistency test passes, calculating a maximum feature vector based on the judgment matrix; establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, performing normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating comprehensive influence degree based on the comprehensive influence matrix, and calculating comprehensive influence weight according to the comprehensive influence degree; determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score; and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights. The method is applied to a new energy power distribution network index evaluation system, a hierarchical structure model and a corresponding judgment matrix are constructed by using a hierarchical analysis method, so that consistency test is carried out, the maximum feature vector is calculated, the hierarchical structure model is combined on the premise of guaranteeing the basic performance of the hierarchical analysis method, consistency test is carried out, the objectivity of the hierarchical analysis method is improved, and the problem of serious subjectivity of the hierarchical analysis method is solved; then, a decision test and an evaluation laboratory method are utilized to establish a direct influence matrix so as to calculate the comprehensive influence degree, further calculate the comprehensive influence weight, and take the comprehensive influence degree as the basis of a construction model, thereby determining the causal relationship among elements and the position of each element in a system and improving the accuracy and rationality of the evaluation of the health state of the power distribution network; then determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm to construct a fuzzy comprehensive evaluation model, and performing score calculation to obtain a comprehensive score, thereby solving the problems of strong subjectivity, complex evaluation index and the like in an evaluation system; and finally, calculating the comprehensive weight based on the maximum feature vector, the comprehensive influence weight and the comprehensive score, and evaluating the health state of the power distribution network to obtain a more accurate comprehensive score, thereby realizing comprehensive evaluation of the health state of the power distribution network in multiple aspects.
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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 that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for evaluating a health status of a power distribution network disclosed in the present application;
FIG. 2 is a system diagram of a new energy distribution network index evaluation system disclosed in the present application;
FIG. 3 is a flowchart of another method for evaluating the health status of a power distribution network disclosed herein;
fig. 4 is a specific flowchart of a method for evaluating a health status of a power distribution network disclosed in the present application;
fig. 5 is a schematic structural diagram of an evaluation device for health status of a power distribution network disclosed in the present application;
fig. 6 is a block diagram of an electronic device provided in the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The comprehensive evaluation research of the power distribution network planning mainly comprises the steps of establishing a comprehensive evaluation index system of the power distribution network and determining a comprehensive evaluation method. The quality and the bad of the evaluation result mainly depend on whether the established comprehensive evaluation index system and the evaluation model are scientific and reasonable. AHP is a qualitative and quantitative combined decision analysis method for solving the multi-objective complex problem. The AHP usually selects the index relatively independently, and often ignores the interaction between indexes. In addition, in the process of weight calculation, the conventional analytic hierarchy process often does not consider the problem of relation among indexes due to unreasonable construction of an evaluation system caused by strong subjectivity in the expert scoring process, so that the evaluation on the health state of the power distribution network is inaccurate. From the above, how to avoid the problem of unreasonable construction of an evaluation system caused by excessively strong subjectivity, and realize comprehensive evaluation of the health status of the power distribution network in multiple aspects, thereby improving the accuracy and rationality of the evaluation of the health status of the power distribution network is a problem to be solved in the field.
Referring to fig. 1, the embodiment of the invention discloses a method for evaluating the health status of a power distribution network, which is applied to a new energy power distribution network index evaluation system and specifically comprises the following steps:
Step S11: and constructing a hierarchical structure model and a corresponding judgment matrix by using an analytic hierarchy process, calculating a consistency index based on the judgment matrix, carrying out consistency test on the consistency index and a preset average random consistency index, and calculating a maximum eigenvector based on the judgment matrix if the consistency test is passed.
In this embodiment, a process for creating an index evaluation system of a new energy power distribution network includes: constructing an initial new energy power distribution network index evaluation system with a multilayer structure; and constructing a power distribution network planning index, and updating the initial new energy power distribution network index evaluation system based on a preset power supply reliability evaluation rule, a preset safety evaluation rule, a preset economic evaluation rule, a preset environmental protection evaluation rule and a preset power distribution network planning index to obtain the new energy power distribution network index evaluation system.
Specifically, an initial new energy power distribution network index evaluation system with a three-layer structure is established through preliminary evaluation of a power distribution network, the initial new energy power distribution network index evaluation system is updated according to four angles of power supply reliability evaluation rules, safety evaluation rules, economic evaluation rules and environmental protection evaluation rules, then further, data are collected, power distribution network planning indexes meeting the conditions are listed, and the power distribution network planning indexes are utilized for updating, so that the new energy power distribution network index evaluation system is obtained. The index evaluation system of the new energy power distribution network with the distributed power supply access is shown in fig. 2, and the method is applied to the index evaluation system of the new energy power distribution network, and the index evaluation system of the new energy power distribution network is divided into three layers, namely a target layer, a reference layer and an index layer; the target layer comprises a power distribution network evaluation index system of large-scale distributed photovoltaic access; the reference layer is constructed from four angles of power supply reliability, safety, economy and environmental protection and based on four corresponding rules; the index layer comprises power distribution network planning indexes: average power failure frequency index, average power failure duration index, average power supply cycle rate, expected power shortage amount, voltage qualification rate, N-1 pass rate, line overload rate, equipment initial investment cost, line loss rate, clean energy power generation ratio, carbon dioxide emission reduction, sulfur dioxide emission reduction, nitride emission reduction and the like.
Step S12: and establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, carrying out normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating the comprehensive influence degree based on the comprehensive influence matrix, and calculating the comprehensive influence weight according to the comprehensive influence degree.
In this embodiment, a decision test and an evaluation laboratory method are utilized to establish a direct influence matrix, the direct influence matrix is normalized to obtain a normalized matrix, the normalized matrix is calculated to obtain the comprehensive influence matrix, a decision test and an evaluation laboratory method are utilized to establish a logic relationship between each influence factor, and the comprehensive influence degree is calculated based on the comprehensive influence matrix and the logic relationship; the comprehensive influence degree comprises factor influence degree, influenced degree, central degree and reason degree, and the comprehensive influence weight is calculated according to the factor influence degree, the influenced degree, the central degree and the reason degree.
Specifically, establishing a logical relation among influence factors and a direct influence matrix O in a research system by an expert, normalizing the direct influence matrix to obtain a normalized matrix N, further solving a comprehensive influence matrix T of the normalized matrix N, and marking each element in the comprehensive influence matrix T as T ij The calculation formula is as follows:
T＝N+N 2 +N 3 +…N n ＝N(1-N) -1 ；
further, the influence degree D of each influence factor on other influence factors is calculated by utilizing the comprehensive influence matrix T i Degree of influence C i The calculation formula is as follows:
further, the centrality M of each influence factor is calculated i And cause degree R i The calculation formula is as follows:
M i ＝D i +C i ；
R i ＝D i -C i ；
finally, calculate the comprehensive impact weight W i The calculation formula is as follows:
step S13: determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score.
In this embodiment, a fuzzy matrix algorithm is used to determine a fuzzy evaluation index factor set and an evaluation set, a fuzzy evaluation matrix is constructed, a fuzzy comprehensive evaluation model is constructed based on the fuzzy evaluation matrix and the comprehensive influence weight, a numerical quantization operation is performed on the evaluation set to obtain the evaluation set after numerical quantization, and the fuzzy comprehensive evaluation model is used to score the fuzzy evaluation index factor set and the evaluation set after numerical quantization to obtain a comprehensive score.
Specifically, qualitative evaluation is converted into quantitative evaluation by using the membership principle of fuzzy mathematics, so that the problems of strong subjectivity, complex evaluation indexes and the like in an evaluation system can be well solved. The factor set is a common set composed of elements of various factors affecting the evaluation target, and is generally represented by U, n factors.
Determining an evaluation index factor set: u= { U 1 ，U 2 ，U 3 ，…，U n }；
The evaluation index factor set is a set formed by all influence factors in the research system, and if the influence factors are more, the evaluation index factor set can be subdivided into m subfraction sets as required: u (U) i ＝{U i1 ，U i2 ，U i3 ，…，U im }；
Further, an evaluation set is determined: v= { v 1 ，v 2 ，v 3 ，…，v m }；
The evaluation set is a set of evaluation results that may be made for the evaluation object. For ease of calculation, the evaluation set may be quantified as a numerical value: v= [0,1,2, … ];
further, a fuzzy evaluation matrix is constructed. The membership degree of each evaluation index to the evaluation level is represented by a membership function. The membership function is usually confirmed by fuzzy statistics, by means of existing objective scales and assignment methods. The membership degree s of each evaluation index can be obtained through calculation ij Thus, a membership matrix S can be constructed:
further, a fuzzy comprehensive evaluation model is constructed: obtaining the comprehensive influence weight w according to the calculation i Combining the membership matrix R to obtain a fuzzy comprehensive evaluation model B as follows:
finally, the comprehensive score G can be obtained by using the determined fuzzy comprehensive evaluation model B, the evaluation set and the determined quantitative assignment number V, and the calculation formula is as follows:
G＝BV T 。
step S14: and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights.
In the embodiment, a hierarchical structure model and a corresponding judgment matrix are constructed by using a hierarchical analysis method, a consistency index is calculated based on the judgment matrix, consistency check is carried out on the consistency index and a preset average random consistency index, and if the consistency check is passed, a maximum eigenvector is calculated based on the judgment matrix; establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, performing normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating comprehensive influence degree based on the comprehensive influence matrix, and calculating comprehensive influence weight according to the comprehensive influence degree; determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score; and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights. The method is applied to a new energy power distribution network index evaluation system, a hierarchical structure model and a corresponding judgment matrix are constructed by using a hierarchical analysis method, so that consistency test is carried out, the maximum feature vector is calculated, the hierarchical structure model is combined on the premise of guaranteeing the basic performance of the hierarchical analysis method, consistency test is carried out, the objectivity of the hierarchical analysis method is improved, and the problem of serious subjectivity of the hierarchical analysis method is solved; then, a decision test and an evaluation laboratory method are utilized to establish a direct influence matrix so as to calculate the comprehensive influence degree, further calculate the comprehensive influence weight, and take the comprehensive influence degree as the basis of a construction model, thereby determining the causal relationship among elements and the position of each element in a system and improving the accuracy and rationality of the evaluation of the health state of the power distribution network; then determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm to construct a fuzzy comprehensive evaluation model, and performing score calculation to obtain a comprehensive score, thereby solving the problems of strong subjectivity, complex evaluation index and the like in an evaluation system; and finally, calculating the comprehensive weight based on the maximum feature vector, the comprehensive influence weight and the comprehensive score, and evaluating the health state of the power distribution network to obtain a more accurate comprehensive score, thereby realizing comprehensive evaluation of the health state of the power distribution network in multiple aspects.
Referring to fig. 3, the embodiment of the invention discloses a method for evaluating the health status of a power distribution network, which is applied to a new energy power distribution network index evaluation system and specifically comprises the following steps:
step S21: and constructing the hierarchical structure model by using an analytic hierarchy process, constructing the judging matrix corresponding to each level in the hierarchical structure model, calculating the maximum eigenvalue of the judging matrix, calculating the consistency index according to the maximum eigenvalue, and judging whether the consistency index is consistent with the average random consistency index.
In this embodiment, an hierarchical structure model is constructed by using AHP, and by analyzing the whole object, each index is classified into different levels according to different classifications, the low-level factor affects the high level, the high-level factor dominates the low level, further, a judgment matrix corresponding to each level is constructed, and for all elements in each level, the importance of the judgment matrix needs to be specifically quantified, and the importance degree difference between the two elements is quantified by numbers 1 to 9. Constructing a judgment matrix a= (a) ij ) n×n Further, calculating the maximum eigenvalue lambda of the judgment matrix max 。
The consistency index C-index is then calculated using the following formula:
The average random uniformity index R-index is determined based on the average random uniformity index table, and then whether the uniformity index is consistent with the average random uniformity index is judged. The average random uniformity index table is shown in table 1:
TABLE 1
Step S22: if the consistency index is consistent with the average random consistency index, judging that consistency test is passed, calculating a consistency ratio based on the consistency index and the average random consistency index, judging whether the consistency ratio is smaller than a preset threshold, and if the consistency ratio is smaller than the preset threshold, calculating a maximum eigenvector based on the maximum eigenvalue.
In this embodiment, the calculation formula of the consistency ratio C-ratio is as follows:
and calculating the consistency ratio by using the formula, judging whether the consistency ratio is smaller than a preset threshold value, calculating the maximum eigenvector if the consistency ratio is smaller than the preset threshold value, and reconstructing the judgment matrix if the consistency ratio is not smaller than the preset threshold value.
Step S23: and establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, carrying out normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating the comprehensive influence degree based on the comprehensive influence matrix, and calculating the comprehensive influence weight according to the comprehensive influence degree.
Step S24: determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score.
Step S25: and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights.
The specific flow of the method is shown in fig. 4, (1) an initial new energy power distribution network index evaluation system is constructed; (2) Collecting data, listing and writing grading indexes, and updating an initial new energy power distribution network index evaluation system to obtain a new energy power distribution network index evaluation system; (3) Constructing a hierarchical structure model and a corresponding judgment matrix by adopting an AHP method, calculating a consistency index, carrying out consistency check on the consistency index and the average random consistency index, if the consistency check is passed, calculating a consistency ratio, judging whether the consistency ratio is smaller than a preset threshold value, and if so, calculating a maximum eigenvector; (4) Establishing a logic relation and a direct influence matrix by adopting a DEMATEL method, performing normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, and calculating factor influence degree, influenced degree, centrality and cause degree to calculate comprehensive influence weight; (5) Determining a fuzzy evaluation index factor set and an evaluation set by adopting a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation to obtain a comprehensive score; (6) Calculating a comprehensive weight based on the maximum feature vector, the comprehensive influence weight, and the comprehensive score; (7) And evaluating the health state of the power distribution network by using the comprehensive weight to obtain an evaluation result. The method improves the traditional analytic hierarchy process through the DEMATEL, considers the relation among indexes on the premise of guaranteeing the basic performance of the analytic hierarchy process, improves the objectivity of the analytic hierarchy process, and relieves the problem of serious subjectivity of the analytic hierarchy process. The fuzzy comprehensive evaluation method is an evaluation method for quantitatively processing a complex research system through mathematical modeling, and the qualitative evaluation is converted into quantitative evaluation by applying the membership principle of fuzzy mathematics, so that the problems of strong subjectivity, complex evaluation indexes and the like in the evaluation system can be well solved. The comprehensive algorithm of the AHP-DEMATEL-fuzzy matrix is adopted to evaluate the health state of the power distribution network of the new energy power distribution network index evaluation system, so that the evaluation result is finer and more precise, the method has a certain scientificity, and the mutual influence relationship and important influence factors among all indexes of the power distribution network can be seen from the comprehensive influence degree result and the total sequence of all indexes. The result shows that the evaluation result of the comprehensive algorithm of the AHP-DEMATEL-fuzzy matrix is more consistent with the subjective judgment result of an expert, and the method has higher feasibility.
In the embodiment, a hierarchical structure model and a corresponding judgment matrix are constructed by using a hierarchical analysis method, a consistency index is calculated based on the judgment matrix, consistency check is carried out on the consistency index and a preset average random consistency index, and if the consistency check is passed, a maximum eigenvector is calculated based on the judgment matrix; establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, performing normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating comprehensive influence degree based on the comprehensive influence matrix, and calculating comprehensive influence weight according to the comprehensive influence degree; determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score; and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights. The method is applied to a new energy power distribution network index evaluation system, a hierarchical structure model and a corresponding judgment matrix are constructed by using a hierarchical analysis method, so that consistency test is carried out, the maximum feature vector is calculated, the hierarchical structure model is combined on the premise of guaranteeing the basic performance of the hierarchical analysis method, consistency test is carried out, the objectivity of the hierarchical analysis method is improved, and the problem of serious subjectivity of the hierarchical analysis method is solved; then, a decision test and an evaluation laboratory method are utilized to establish a direct influence matrix so as to calculate the comprehensive influence degree, further calculate the comprehensive influence weight, and take the comprehensive influence degree as the basis of a construction model, thereby determining the causal relationship among elements and the position of each element in a system and improving the accuracy and rationality of the evaluation of the health state of the power distribution network; then determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm to construct a fuzzy comprehensive evaluation model, and performing score calculation to obtain a comprehensive score, thereby solving the problems of strong subjectivity, complex evaluation index and the like in an evaluation system; and finally, calculating the comprehensive weight based on the maximum feature vector, the comprehensive influence weight and the comprehensive score, and evaluating the health state of the power distribution network to obtain a more accurate comprehensive score, thereby realizing comprehensive evaluation of the health state of the power distribution network in multiple aspects.
Referring to fig. 5, an embodiment of the invention discloses an evaluation device for a health state of a power distribution network, which is applied to a new energy power distribution network index evaluation system, and specifically may include:
the feature vector calculation module 11 is configured to construct a hierarchical structure model and a corresponding judgment matrix by using a hierarchical analysis method, calculate a consistency index based on the judgment matrix, perform consistency check on the consistency index and a preset average random consistency index, and calculate a maximum feature vector based on the judgment matrix if the consistency check is passed;
the weight calculation module 12 is configured to establish a direct impact matrix by using a decision test and evaluation laboratory method, perform normalized calculation on the direct impact matrix to obtain a comprehensive impact matrix, calculate a comprehensive impact degree based on the comprehensive impact matrix, and calculate a comprehensive impact weight according to the comprehensive impact degree;
the scoring calculation module 13 is configured to determine a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, construct a fuzzy evaluation matrix, construct a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and perform scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score;
The state evaluation module 14 is configured to calculate an integrated weight based on the maximum feature vector, the integrated influence weight, and the integrated score, and evaluate the health state of the power distribution network using the integrated weight.
In the embodiment, a hierarchical structure model and a corresponding judgment matrix are constructed by using a hierarchical analysis method, a consistency index is calculated based on the judgment matrix, consistency check is carried out on the consistency index and a preset average random consistency index, and if the consistency check is passed, a maximum eigenvector is calculated based on the judgment matrix; establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, performing normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating comprehensive influence degree based on the comprehensive influence matrix, and calculating comprehensive influence weight according to the comprehensive influence degree; determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score; and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights. The method is applied to a new energy power distribution network index evaluation system, a hierarchical structure model and a corresponding judgment matrix are constructed by using a hierarchical analysis method, so that consistency test is carried out, the maximum feature vector is calculated, the hierarchical structure model is combined on the premise of guaranteeing the basic performance of the hierarchical analysis method, consistency test is carried out, the objectivity of the hierarchical analysis method is improved, and the problem of serious subjectivity of the hierarchical analysis method is solved; then, a decision test and an evaluation laboratory method are utilized to establish a direct influence matrix so as to calculate the comprehensive influence degree, further calculate the comprehensive influence weight, and take the comprehensive influence degree as the basis of a construction model, thereby determining the causal relationship among elements and the position of each element in a system and improving the accuracy and rationality of the evaluation of the health state of the power distribution network; then determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm to construct a fuzzy comprehensive evaluation model, and performing score calculation to obtain a comprehensive score, thereby solving the problems of strong subjectivity, complex evaluation index and the like in an evaluation system; and finally, calculating the comprehensive weight based on the maximum feature vector, the comprehensive influence weight and the comprehensive score, and evaluating the health state of the power distribution network to obtain a more accurate comprehensive score, thereby realizing comprehensive evaluation of the health state of the power distribution network in multiple aspects.
In some specific embodiments, the creating process of the new energy power distribution network index evaluation system includes:
the initial system construction module is used for constructing an initial new energy power distribution network index evaluation system with a multilayer structure;
the updating module is used for constructing a power distribution network planning index, and updating the initial new energy power distribution network index evaluation system based on a preset power supply reliability evaluation rule, a preset safety evaluation rule, a preset economic evaluation rule, a preset environmental protection evaluation rule and a preset power distribution network planning index to obtain the new energy power distribution network index evaluation system.
In some specific embodiments, the feature vector calculation module 11 may specifically include:
the judgment matrix construction module is used for constructing the hierarchical sub-structure model by using a hierarchical analysis method and constructing the judgment matrix corresponding to each level in the hierarchical sub-structure model;
the maximum characteristic value calculation module is used for calculating the maximum characteristic value of the judgment matrix and calculating the consistency index according to the maximum characteristic value;
and the consistency check module is used for judging whether the consistency index is consistent with the average random consistency index.
In some specific embodiments, the feature vector calculation module 11 may specifically include:
the consistency ratio calculation module is used for judging that the consistency check passes if the consistency index is consistent with the average random consistency index, and calculating the consistency ratio based on the consistency index and the average random consistency index;
and the maximum feature vector calculation module is used for judging whether the consistency ratio is smaller than a preset threshold value, and if so, calculating a maximum feature vector based on the maximum feature value.
In some specific embodiments, the weight calculation module 12 may specifically include:
the normalization module is used for normalizing the direct influence matrix to obtain a normalized matrix;
and the calculation module is used for calculating the normalized matrix to obtain the comprehensive influence matrix.
In some specific embodiments, the weight calculation module 12 may specifically include:
the logic relation establishing module is used for establishing a logic relation among all influence factors by utilizing a decision test and evaluation laboratory method;
the comprehensive influence degree calculation module is used for calculating the comprehensive influence degree based on the comprehensive influence matrix and the logic relation; the comprehensive influence degree comprises factor influence degree, influenced degree, centrality and reason degree;
And the comprehensive influence weight calculation module is used for calculating the comprehensive influence weight according to the factor influence degree, the influenced degree, the centrality and the cause degree.
In some specific embodiments, the score calculating module 13 may specifically include:
the numerical value quantization module is used for performing numerical value quantization operation on the evaluation set to obtain the evaluation set after numerical value quantization;
and the scoring calculation module is used for scoring calculation on the fuzzy evaluation index factor set and the evaluation set after the numerical quantization by using the fuzzy comprehensive evaluation model so as to obtain a comprehensive score.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. The memory 22 is configured to store a computer program, where the computer program is loaded and executed by the processor 21 to implement relevant steps in the method for evaluating the health status of a power distribution network performed by an electronic device as disclosed in any of the foregoing embodiments.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon include an operating system 221, a computer program 222, and data 223, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and the computer program 222, so as to implement the operation and processing of the data 223 in the memory 22 by the processor 21, which may be Windows, unix, linux or the like. The computer program 222 may further comprise a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the method of assessing the health of a power distribution network performed by the electronic device 20 as disclosed in any of the embodiments described above. The data 223 may include, in addition to data received by the evaluation device of the health status of the power distribution network and transmitted by an external device, data collected by the own input/output interface 25, and so on.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Further, the embodiment of the application also discloses a computer readable storage medium, wherein the storage medium stores a computer program, and when the computer program is loaded and executed by a processor, the method for evaluating the health status of the power distribution network disclosed in any embodiment is realized.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The method, the device, the equipment and the storage medium for evaluating the health state of the power distribution network provided by the invention are described in detail, and specific examples are applied to the principle and the implementation mode of the invention, and the description of the above examples is only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. The evaluation method of the power distribution network health state is characterized by being applied to a new energy power distribution network index evaluation system and comprising the following steps:
constructing a hierarchical structure model and a corresponding judgment matrix by using an analytic hierarchy process, calculating a consistency index based on the judgment matrix, carrying out consistency test on the consistency index and a preset average random consistency index, and calculating a maximum eigenvector based on the judgment matrix if the consistency test is passed;
establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, performing normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating comprehensive influence degree based on the comprehensive influence matrix, and calculating comprehensive influence weight according to the comprehensive influence degree;
Determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score;
and calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by using the comprehensive weights.
2. The method for evaluating the health status of a power distribution network according to claim 1, wherein the creating process of the new energy power distribution network index evaluation system comprises the following steps:
constructing an initial new energy power distribution network index evaluation system with a multilayer structure;
and constructing a power distribution network planning index, and updating the initial new energy power distribution network index evaluation system based on a preset power supply reliability evaluation rule, a preset safety evaluation rule, a preset economic evaluation rule, a preset environmental protection evaluation rule and a preset power distribution network planning index to obtain the new energy power distribution network index evaluation system.
3. The method for evaluating the health status of a power distribution network according to claim 1, wherein the constructing a hierarchical structure model and a corresponding judgment matrix by using a hierarchical analysis method, calculating a consistency index based on the judgment matrix, and performing consistency check on the consistency index and a preset average random consistency index comprises:
Constructing the hierarchical structure model by using an analytic hierarchy process, and constructing the judgment matrix corresponding to each level in the hierarchical structure model;
calculating the maximum eigenvalue of the judgment matrix, and calculating the consistency index according to the maximum eigenvalue;
and judging whether the consistency index is consistent with the average random consistency index.
4. A method of assessing the health of a power distribution network according to claim 3, wherein if the consistency check passes, calculating a maximum eigenvector based on the decision matrix comprises:
if the consistency index is consistent with the average random consistency index, judging that the consistency test is passed, and calculating a consistency ratio based on the consistency index and the average random consistency index;
and judging whether the consistency ratio is smaller than a preset threshold value, and if so, calculating a maximum feature vector based on the maximum feature value.
5. The method for evaluating the health status of a power distribution network according to claim 1, wherein the performing normalized calculation on the direct impact matrix to obtain a comprehensive impact matrix comprises:
Normalizing the direct influence matrix to obtain a normalized matrix;
and calculating the normalized matrix to obtain the comprehensive influence matrix.
6. The method for evaluating the health status of a power distribution network according to claim 1, wherein the calculating the total influence degree based on the total influence matrix and calculating the total influence weight according to the total influence degree comprises:
establishing a logic relationship among all influence factors by utilizing a decision test and evaluation laboratory method;
calculating the comprehensive influence degree based on the comprehensive influence matrix and the logic relation; the comprehensive influence degree comprises factor influence degree, influenced degree, centrality and reason degree;
and calculating the comprehensive influence weight according to the factor influence degree, the influenced degree, the centrality and the cause degree.
7. The method for evaluating the health status of a power distribution network according to any one of claims 1 to 6, wherein the scoring the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score comprises:
performing numerical quantization operation on the evaluation set to obtain the evaluation set after numerical quantization;
And performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set after numerical quantization by using the fuzzy comprehensive evaluation model to obtain a comprehensive score.
8. The utility model provides an evaluation device of distribution network health state, its characterized in that is applied to new forms of energy distribution network index evaluation system, includes:
the feature vector calculation module is used for constructing a hierarchical structure model and a corresponding judgment matrix by using a hierarchical analysis method, calculating a consistency index based on the judgment matrix, carrying out consistency test on the consistency index and a preset average random consistency index, and calculating a maximum feature vector based on the judgment matrix if the consistency test is passed;
the weight calculation module is used for establishing a direct influence matrix by utilizing a decision test and evaluation laboratory method, carrying out normalized calculation on the direct influence matrix to obtain a comprehensive influence matrix, calculating the comprehensive influence degree based on the comprehensive influence matrix, and calculating the comprehensive influence weight according to the comprehensive influence degree;
the scoring calculation module is used for determining a fuzzy evaluation index factor set and an evaluation set by using a fuzzy matrix algorithm, constructing a fuzzy evaluation matrix, constructing a fuzzy comprehensive evaluation model based on the fuzzy evaluation matrix and the comprehensive influence weight, and performing scoring calculation on the fuzzy evaluation index factor set and the evaluation set by using the fuzzy comprehensive evaluation model to obtain a comprehensive score;
And the state evaluation module is used for calculating comprehensive weights based on the maximum feature vector, the comprehensive influence weights and the comprehensive scores, and evaluating the health state of the power distribution network by utilizing the comprehensive weights.
9. An electronic device, comprising:
a memory for storing a computer program;
processor for executing the computer program for implementing a method of assessing the health of a power distribution network according to any of claims 1 to 7.
10. A computer-readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements a method of assessing the health of a power distribution network according to any one of claims 1 to 7.
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