CN114091908A - Power distribution network comprehensive evaluation method, device and equipment considering multi-mode energy storage station - Google Patents
Power distribution network comprehensive evaluation method, device and equipment considering multi-mode energy storage station Download PDFInfo
- Publication number
- CN114091908A CN114091908A CN202111395834.3A CN202111395834A CN114091908A CN 114091908 A CN114091908 A CN 114091908A CN 202111395834 A CN202111395834 A CN 202111395834A CN 114091908 A CN114091908 A CN 114091908A
- Authority
- CN
- China
- Prior art keywords
- index
- weight
- matrix
- distribution network
- power distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 136
- 238000004146 energy storage Methods 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 claims abstract description 112
- 239000011159 matrix material Substances 0.000 claims abstract description 106
- 230000008569 process Effects 0.000 claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000004590 computer program Methods 0.000 claims description 5
- 238000004587 chromatography analysis Methods 0.000 claims description 4
- 230000005484 gravity Effects 0.000 claims description 4
- 230000008901 benefit Effects 0.000 abstract description 9
- 238000010276 construction Methods 0.000 abstract description 6
- 230000000694 effects Effects 0.000 abstract description 6
- 230000009471 action Effects 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 150000001875 compounds Chemical class 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a method, a device and equipment for comprehensively evaluating a power distribution network with consideration of multi-mode energy storage stations, wherein the method comprises the following steps: establishing an index evaluation system; carrying out forward and standardization processing on indexes in the index evaluation system to obtain a standardization matrix; acquiring index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers; and obtaining a comprehensive evaluation result by a topsis method introducing weight according to the standardized matrix and the obtained index combination weight. The method and the device have the advantages that the triangular fuzzy number is introduced on the basis of the analytic hierarchy process, the subjective assumption for constructing the judgment matrix can be reduced, the entropy weight method is combined to obtain the index combination weight, the influence of subjective factors is further reduced, the reasonability and the accuracy are effectively improved, finally, the topsis method with the introduced weight is adopted for evaluation, the objectivity and the reliability of the evaluation result are integrally guaranteed, and the investment effect of the power distribution network construction project can be scientifically and comprehensively evaluated.
Description
Technical Field
The invention relates to the field of power systems, in particular to a comprehensive evaluation method, device and equipment for a power distribution network with multi-mode energy storage stations.
Background
At present, the energy storage station has multiple advantages such as flexibility, low carbon nature, high efficiency as high-efficient reasonable important energy utilization mode usually, generally sets up in the demand side, and the auxiliary power grid carries out the peak clipping and fills valley, stabilizes the fluctuation of new forms of energy.
When the influence of the energy storage station accessing the power distribution network is evaluated, a plurality of influence factors need to be considered, and some factors have strong uncertainty, so that the difficulty of constructing an evaluation index system of a power grid construction project is increased, and a reasonable evaluation method is adopted to establish an evaluation model on the basis of establishing a comprehensive evaluation index to obtain a scientific evaluation result. Because the attributes of the corresponding evaluation indexes affected by various aspects are different, the evaluation indexes generally have different dimensions and magnitude levels, the consistency of the evaluation values is difficult to ensure by using the prior art, and the problems of subjectivity, fuzziness and the like exist in the evaluation process, so that the reliability and the accuracy of the evaluation results are not high. In addition, the analytic process is not highly dependent on quantitative data due to clear research thought and wide application, but when indexes are compared pairwise by the analytic process, if information is incomplete, judgment is uncertain, and even solving precision is affected.
Therefore, how to solve the problems of subjectivity, ambiguity and the like in the process of evaluating the indexes of the power distribution network containing the energy storage station is a technical problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus, and a device for comprehensively evaluating a power distribution network in consideration of a multi-mode energy storage station, which can reduce the influence of subjective factors and ensure the objectivity and reliability of evaluation results. The specific scheme is as follows:
a comprehensive evaluation method for a power distribution network considering a multi-mode energy storage station comprises the following steps:
establishing an index evaluation system;
carrying out forward and standardization processing on the indexes in the index evaluation system to obtain a standardization matrix;
acquiring index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers;
and obtaining a comprehensive evaluation result by a topsis method introducing weight according to the standardized matrix and the obtained index combination weight.
Preferably, in the comprehensive evaluation method for a power distribution network involving a multi-mode energy storage station provided in the embodiment of the present invention, the index evaluation system includes a target layer, a criterion layer, and a scheme layer; the target layer is the final target of the evaluation object, the criterion layer is various criteria adopted for realizing the preset target, and the scheme layer is various measures for solving problems.
Preferably, in the above method for comprehensively evaluating a power distribution network in consideration of a multi-mode energy storage station according to an embodiment of the present invention, the normalizing and normalizing the index in the index evaluation system to obtain a normalized matrix includes:
classifying the indexes in the index evaluation system according to a set rule;
carrying out forward processing on the classified indexes;
and carrying out standardization processing on the indexes subjected to the forward processing to obtain a standardization matrix.
Preferably, in the above method for comprehensively evaluating a power distribution network with consideration of a multi-mode energy storage station provided in the embodiment of the present invention, the obtaining of the index combination weight by using an entropy weight method and an analytic hierarchy process introducing a triangular fuzzy number includes:
calculating the characteristic proportion of each evaluation object under each index according to the standardized matrix;
according to the characteristic specific gravity, calculating entropy values of all indexes;
calculating the information utility value of each index according to the entropy value of each index;
obtaining the weight of each index according to the information utility value of each index;
introducing a triangular fuzzy number in the chromatography, and replacing a point value form with a fuzzy interval form;
establishing a triangular fuzzy number judgment matrix; the triangular fuzzy judgment matrix is a positive and reciprocal judgment matrix;
constructing fuzzy judgment factors of the forward and reverse judgment matrixes to obtain an adjustment judgment matrix;
adjusting the index weight according to the adjustment judgment matrix;
and obtaining the index combination weight by adopting a multiplication combination method according to the adjusted index weight.
Preferably, in the method for comprehensively evaluating a power distribution network in consideration of a multi-mode energy storage station according to the embodiment of the present invention, the establishing a triangular fuzzy number determination matrix includes:
establishing a first judgment matrix of the criterion layer for the target layer, and quantitatively expressing each element in the first judgment matrix according to a pairwise comparison result between indexes to obtain a corresponding triangular fuzzy judgment matrix;
and establishing a second judgment matrix of the scheme layer for the criterion layer, and quantitatively expressing each element in the second judgment matrix according to a pairwise comparison result between indexes to obtain a corresponding triangular fuzzy judgment matrix.
Preferably, in the comprehensive evaluation method for a power distribution network involving a multi-mode energy storage station provided in the embodiment of the present invention, after the establishing a triangular fuzzy number determination matrix, the method further includes:
and carrying out consistency check on the established triangular fuzzy judgment matrix.
Preferably, in the above power distribution network comprehensive evaluation method involving a multi-mode energy storage station provided in the embodiment of the present invention, the adjusting the index weight includes:
obtaining the index weight of the criterion layer relative to the target layer by a sum-product method;
obtaining the index weight of the scheme layer relative to the criterion layer by a sum-product method;
and obtaining the index weight of the scheme layer relative to the target layer according to the weight of the scheme layer relative to the criterion layer and the weight of the criterion layer relative to the target layer.
Preferably, in the above power distribution network comprehensive evaluation method involving a multi-mode energy storage station provided in an embodiment of the present invention, the obtaining a comprehensive evaluation result by a topsis method introducing weights according to the normalization matrix and the obtained index combination weights includes:
obtaining the maximum value and the minimum value of the standardized matrix corresponding to each evaluation object by a topsis method introducing weight;
and combining the index combination weight to obtain the distance between each evaluation object and the maximum value and the minimum value so as to obtain a comprehensive evaluation result.
The embodiment of the invention also provides a comprehensive evaluation device for the power distribution network considering the multi-mode energy storage station, which comprises the following steps:
the system establishing module is used for establishing an index evaluation system;
the index processing module is used for carrying out forward and standardization processing on the indexes in the index evaluation system to obtain a standardization matrix;
the weight obtaining module is used for obtaining index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers;
and the comprehensive evaluation module is used for obtaining a comprehensive evaluation result through a topsis method introducing weight according to the standardized matrix and the acquired index combination weight.
The embodiment of the invention also provides a comprehensive evaluation device of the power distribution network considering the multi-mode energy storage station, which comprises a processor and a memory, wherein the processor realizes the comprehensive evaluation method of the power distribution network considering the multi-mode energy storage station provided by the embodiment of the invention when executing the computer program stored in the memory.
According to the technical scheme, the comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station, provided by the invention, comprises the following steps: establishing an index evaluation system; carrying out forward and standardization processing on indexes in an index evaluation system to obtain a standardization matrix; acquiring index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers; and obtaining a comprehensive evaluation result by a topsis method introducing weight according to the standardized matrix and the obtained index combination weight.
According to the method, the triangular fuzzy number is introduced on the basis of the analytic hierarchy process, the subjective assumption of constructing the judgment matrix can be reduced, the entropy weight method is combined to obtain the index combination weight, the influence of subjective factors is further reduced, the rationality and the accuracy are effectively improved, finally, the topsis method introducing the weight is adopted for evaluation, the objectivity and the reliability of the evaluation result are integrally guaranteed, and the investment effect of the power distribution network construction project can be scientifically and comprehensively evaluated.
In addition, the invention also provides a corresponding device and equipment for the comprehensive evaluation method of the power distribution network considering the multi-mode energy storage station, so that the method has higher practicability, and the device and the equipment have corresponding advantages.
Drawings
In order to more clearly illustrate the embodiments of the present invention or technical solutions in related arts, the drawings used in the description of the embodiments or related arts will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a comprehensive evaluation method for a power distribution network involving a multi-mode energy storage station according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a comprehensive evaluation device for a power distribution network in which a multi-mode energy storage station is involved according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a comprehensive evaluation method for a power distribution network considering a multi-mode energy storage station, which comprises the following steps as shown in figure 1:
s101, establishing an index evaluation system;
s102, carrying out forward and standardization processing on indexes in an index evaluation system to obtain a standardization matrix;
s103, acquiring index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers;
and S104, obtaining a comprehensive evaluation result by a topsis method introducing weight according to the standardized matrix and the obtained index combination weight.
In the comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station, provided by the embodiment of the invention, the triangular fuzzy number is introduced on the basis of the analytic hierarchy process, the subjective assumption for constructing the judgment matrix can be reduced, the index combination weight is acquired by combining the entropy weight method, the influence of subjective factors is further reduced, the rationality and the accuracy are effectively improved, finally, the topsis method introducing the weight is adopted for evaluation, the objectivity and the reliability of the evaluation result are integrally ensured, and the investment effect of the power distribution network construction project can be scientifically and comprehensively evaluated.
In specific implementation, in the comprehensive evaluation method for a power distribution network involving a multi-mode energy storage station provided in the embodiment of the present invention, the index evaluation system in step S101 may include three layers, namely a target layer, a criterion layer, and a scheme layer. The invention relates to a power distribution network comprehensive evaluation system with a target layer as a final target of a research object, and the power distribution network comprehensive evaluation system is a power distribution network comprehensive evaluation system with multi-mode energy storage stations; the criterion layer is each criterion adopted for realizing the preset target, and the method contributes to economic benefit, power grid engineering and society; the scheme layer is selected to solve various problems, the scheme layer under the economic benefit is the return investment period rate, the internal yield rate and the annual power generation benefit, the scheme layer under the power grid engineering is the power supply reliability rate, the comprehensive line loss rate, the comprehensive voltage qualification rate and the distributed power generation benefit, and the scheme layer under the social contribution is the regional power grid optimization degree and the economic pulling effect on the region.
In specific implementation, in the above power distribution network comprehensive evaluation method involving a multi-mode energy storage station provided in the embodiment of the present invention, the step S102 performs forward and standardization processing on the indexes in the index evaluation system to obtain a standardized matrix, which may specifically include the following steps:
firstly, classifying indexes in an index evaluation system according to a set rule; in practical applications, the indicators can be divided into very large indicators, very small indicators, intermediate indicators, and interval indicators. The larger the value of the ultra-large index is, the better the value of the ultra-small index is, the best value of the intermediate index is in the middle, and the best value of the interval index is in the best interval.
Then, forward processing is carried out on the classified indexes; since the indexes are not uniform, it is necessary to perform a normalization process on the very small index, the intermediate index, and the interval index.
When { XijWhen it is a set of very small index sequences,
when { XijIs a set of intermediate index sequences with the best value XbestWhen the temperature of the water is higher than the set temperature,
when { XijIs a set of interval type index sequences and the optimal interval is [ a, b ]]When the temperature of the water is higher than the set temperature,
and finally, carrying out standardization processing on the indexes subjected to the forward processing, and eliminating the influence of dimensions to obtain a standardization matrix.
In the above formula, XijThe index value of the jth index of the ith sample (i.e. the evaluation object),
as an index value after the normalization, ZijThe normalized values are n, the total number of samples, and m, the total number of evaluation indexes. The optimal value of the intermediate type index and the optimal interval of the interval type index are determined according to relevant regulations of the power industry.
In specific implementation, in the method for comprehensively evaluating a power distribution network with consideration of a multi-mode energy storage station provided in the embodiment of the present invention, in step S103, an entropy weight method and an analytic hierarchy process introducing a triangular fuzzy number are used to obtain an index combination weight, which may specifically include the following steps:
step one, calculating the characteristic proportion of each evaluation object under each index according to a standardized matrix;
specifically, the characteristic proportion of the ith sample under the jth index is calculated by adopting the following formula:
in the formula (I), the compound is shown in the specification,
secondly, calculating entropy values of all indexes according to the characteristic specific gravity;
the entropy value of the j index is calculated by adopting the following formula.
Wherein j is 1,2,. cndot.m, ln is in P (X)1j)＝P(X2j)＝P(Xnj) The maximum value of the information entropy of the index j obtained at that time
ejThe larger the entropy value, the less information is delivered, i.e. the index value is the same for all samples 1. This formula causes the value of the information entropy to always be [0,1 ]]And (4) the following steps.
Step three, calculating the information utility value of each index according to the entropy value of each index;
specifically, the utility value of the j-th item of index information is calculated by adopting the following formula.
Hj＝l-ej (7)
In the formula (d)jAnd the smaller the information entropy is, the larger the information utility value is, and the more information is contained.
Step four, obtaining the weight of each index according to the information utility value of each index;
specifically, the weight of the entropy weight method is calculated by the following formula.
Introducing a triangular fuzzy number into the chromatography, and replacing a point value form with a fuzzy interval form;
it should be noted that a triangular fuzzy number is introduced on the basis of an analytic hierarchy process, and a fuzzy interval form is used for replacing a subjective judgment point value form, so that the limitation that the point value cannot express the subjective judgment of a decision maker is overcome. The mathematical definition is: a fuzzy subset A on the universe of discourse U is U to [0,1]A mapping u ofA:U→[0,1]Mapping uAMembership letter called ANumber uA(x) Referred to as the degree of membership of x to a.
In the formula, al≤am≤au，alAnd auLower and upper bounds, a, of the fuzzy set A, respectivelymIs the median of A, the triangular blur number A is expressed as (a)l,am,au)。
Step six, establishing a triangular fuzzy number judgment matrix; the triangular fuzzy judgment matrix is a positive and reciprocal judgment matrix;
the economic and technical comprehensive evaluation system for the power distribution network optimization design scheme considering the multi-mode energy storage station is three layers. The target layer is marked as M, the criterion layer is marked as G, and the index is expressed in the form of (G)1，G2,…,Gi,…,Ga) (ii) a The scheme layer is marked as B and corresponds to the rule layer GiThe index is represented by (B)i1,Bi2,…,Bib). In a specific implementation, the establishing the triangular fuzzy number determination matrix in the above step may specifically include: establishing a first judgment matrix of the criterion layer to the target layer, and quantitatively expressing each element in the first judgment matrix according to the pairwise comparison result between the indexes, wherein the quantitative expression is fij＝(gij,hij,lij) Obtaining a corresponding triangular fuzzy judgment matrix; and in the same way, establishing a second judgment matrix of the scheme layer for the criterion layer, and quantitatively expressing each element in the second judgment matrix according to a pairwise comparison result between the indexes to obtain a corresponding triangular fuzzy judgment matrix.
In practical application, the pairwise comparison result between the indexes can be extracted from the existing expert database. And comparing every two indexes to obtain a fuzzy interval, wherein the fuzzy interval reflects the uncertainty degree of the two indexes in comparison, and the size and the uncertainty of the fuzzy interval are in positive correlation. If there are t evaluation results for every two indexes, the average value is calculated according to the algorithm of triangular fuzzy number
And obtaining a positive and negative judgment matrix.
Each element f in the positive and negative judgment matrixijAre all a fuzzy interval in which gijIs the lower bound of the interval, /)ijIs the upper bound of the interval, gij,hij,lijThe values of (a) are scaled according to reciprocity 1-9, as shown in table one. And is
When g isij＝hij＝lijThe triangular fuzzy number is a positive real number.
TABLE 1-9 Scale
In a specific implementation, after the triangular fuzzy number determination matrix is established, the method may further include: and carrying out consistency check on the established triangular fuzzy judgment matrix.
To simplify the calculation, h is approximated hereijPerforming consistency check, when hijAnd when the consistency is good, the triangular fuzzy number forward and inverse matrix also has good consistency.
Extracting h of each fuzzy interval in the positive and negative judgment matrixijForming a matrix H, and normalizing each row of elements in the matrix H;
in the formula, r is the total index number of the criterion layer and is also the order of the matrix H.
Adding the elements normalized by each column according to rows;
normalizing the vector obtained in the last step to obtain a characteristic vector;
calculating the maximum eigenvalue of the positive and negative matrix;
the same can derive the feature vector and the maximum feature value of the scheme layer index relative to the criterion layer.
Carrying out consistency check;
the value of RI is found by a table lookup. If CR is less than or equal to 0.1, the test is considered to pass the consistency test.
Constructing fuzzy judgment factors of the positive and negative judgment matrix to obtain an adjustment judgment matrix;
specifically, a fuzzy evaluation factor matrix S is established. Establishing fuzzy evaluation factors for the constructed positive and negative judgment matrixes in the following specific form:
in the formula (I), the compound is shown in the specification,
the fuzzy evaluation factor objectively and sufficiently reflects the fuzzy degree of the evaluation result. The smaller its value, the smaller the blur degree; the larger the value thereof, the larger the degree of blur.
Next, the decision matrix is re-established. Obtaining a new judgment matrix T by the combined action of the fuzzy evaluation factor matrix and the positive and negative judgment matrix:
in the formula, h is a matrix formed by the median of the triangular blur numbers. And (d) carrying out a series of elementary transformations on the new judgment matrix T to finally obtain a judgment matrix T' with all diagonals of 1 (T ═ T)ij)r×rSatisfy the following requirements
Step eight, adjusting the index weight according to the adjustment judgment matrix;
in a specific implementation, the adjusting the index weight in the above step may specifically include: obtaining the index weight of the criterion layer relative to the target layer by a sum-product method; similarly, the sum-product method is adopted to obtain the index weight of the scheme layer relative to the criterion layer; and obtaining the index weight of the scheme layer relative to the target layer according to the weight of the scheme layer relative to the criterion layer and the weight of the criterion layer relative to the target layer.
Specifically, the weights of the indexes of the criterion layer relative to the target layer may be calculated first, and the weights may be obtained according to a sum-product method; then, the scheme layer weight is obtained by adopting the method for all indexes in the scheme layer in the same way, and the weight is multiplied by the index layer index weight corresponding to the lower standard layer to obtain the weight W 'of the scheme layer relative to the target layer'j ′。
Step nine, according to the adjusted index weight, acquiring index combination weight by adopting a multiplication combination method;
specifically, the index combination weight is obtained by adopting the following formula:
the method has the advantages that the analytic hierarchy process introducing the triangular fuzzy number processes fuzzy evaluation objects through an accurate digital means, evaluation results contain rich information, scientific and reasonable quantitative evaluation can be performed on fuzzy information, and the defects of the analytic hierarchy process are overcome.
In specific implementation, in the above power distribution network comprehensive evaluation method involving a multi-mode energy storage station provided in the embodiment of the present invention, step S104 obtains a comprehensive evaluation result by a topsis method introducing weights according to a standardized matrix and an obtained index combination weight, and specifically may include the following steps:
first, the maximum value Z of Z corresponding to each evaluation object is obtained by the topsis method with weights introduced+And the minimum value Z-；
Z+＝(Z1 +,Z2 +,…Zm +)＝(max{Z11,Z21,…Zn1},max{Z12,Z22,…Zn2},…,max{Z1m,Z2m,…Znm})(19)
Z-＝(Z1 -,Z2 -,…Zm -)＝(min{Z11,Z21,…Zn1},min{Z12,Z22,…Zn2},…,min{Z1m,Z2m,…Znm})(20)
And then, combining the index combination weight to obtain the distance between each evaluation object and the maximum value and the minimum value so as to obtain a comprehensive evaluation result.
Specifically, the distance between the ith sample and the maximum value and the minimum value is obtained by adopting the following formula:
the score of the ith sample can be calculated using the following formula;
that is to say, the optimal solution and the worst solution in the evaluation object can be found by adopting a topsis method introducing the weight, and the distance between a certain object and the optimal solution and the worst solution is obtained, so that the approach degree of the scheme and the optimal solution is obtained.
Based on the same inventive concept, the embodiment of the invention also provides a comprehensive evaluation device for a power distribution network considering the multi-mode energy storage station, and as the problem solving principle of the device is similar to that of the comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station, the implementation of the device can refer to the implementation of the comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station, and repeated parts are not repeated.
In specific implementation, the comprehensive evaluation device for a power distribution network considering a multi-mode energy storage station provided in the embodiment of the present invention, as shown in fig. 2, may specifically include:
the system establishing module 11 is used for establishing an index evaluation system;
the index processing module 12 is configured to perform forward and standard processing on the indexes in the index evaluation system to obtain a standard matrix;
the weight obtaining module 13 is configured to obtain an index combination weight by using an entropy weight method and an analytic hierarchy process introducing a triangular fuzzy number;
and the comprehensive evaluation module 14 is used for obtaining a comprehensive evaluation result through a topsis method introducing weights according to the standardized matrix and the acquired index combination weights.
In the comprehensive evaluation equipment for the power distribution network considering the multi-mode energy storage station, which is provided by the embodiment of the invention, the triangular fuzzy number can be introduced on the basis of an analytic hierarchy process through the interaction of the four modules, so that the subjective assumption of constructing a judgment matrix can be reduced, the index combination weight is obtained by combining an entropy weight method, the influence of subjective factors is further reduced, the rationality and the accuracy are effectively improved, and finally, the topsis method introducing the weight is adopted for evaluation, so that the objectivity and the reliability of an evaluation result are integrally ensured, and the investment effect of a power distribution network construction project can be scientifically and comprehensively evaluated.
In specific implementation, the index processing module 12 may be specifically configured to classify the indexes in the index evaluation system according to a set rule; carrying out forward processing on the classified indexes; and carrying out standardization processing on the indexes subjected to the forward processing to obtain a standardization matrix.
In specific implementation, the weight obtaining module 13 may be specifically configured to calculate a feature proportion of each evaluation object under each index according to the standardized matrix; calculating entropy values of various indexes according to the characteristic specific gravity; calculating the information utility value of each index according to the entropy value of each index; obtaining the weight of each index according to the information utility value of each index; introducing a triangular fuzzy number in the chromatography, and replacing a point value form with a fuzzy interval form; establishing a triangular fuzzy number judgment matrix; the triangular fuzzy judgment matrix is a positive and reciprocal judgment matrix; constructing fuzzy judgment factors of a positive and negative judgment matrix to obtain an adjustment judgment matrix; adjusting the index weight according to the adjustment judgment matrix; and obtaining the index combination weight by adopting a multiplication combination method according to the adjusted index weight.
In specific implementation, the comprehensive evaluation module 14 may be specifically configured to obtain a maximum value and a minimum value of the standardized matrix corresponding to each evaluation object by a weight-introduced topsis method; and combining the index combination weight to obtain the distance between each evaluation object and the maximum value and the minimum value so as to obtain a comprehensive evaluation result.
For more specific working processes of the modules, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Correspondingly, the embodiment of the invention also discloses a comprehensive evaluation device for the power distribution network considering the multi-mode energy storage station, which comprises a processor and a memory; when the processor executes the computer program stored in the memory, the comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station, disclosed by the foregoing embodiment, is implemented.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Further, the present invention also discloses a computer readable storage medium for storing a computer program; when being executed by a processor, the computer program realizes the comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device and the storage medium disclosed in the embodiment correspond to the method disclosed in the embodiment, so the description is simple, and the relevant points can be referred to the description of the method part.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the components and steps of the various examples have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
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. A software module may reside 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.
To sum up, the method for comprehensively evaluating a power distribution network in consideration of a multi-mode energy storage station provided by the embodiment of the invention comprises the following steps: establishing an index evaluation system; carrying out forward and standardization processing on indexes in an index evaluation system to obtain a standardization matrix; acquiring index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers; and obtaining a comprehensive evaluation result by a topsis method introducing weight according to the standardized matrix and the obtained index combination weight. According to the method, the triangular fuzzy number is introduced on the basis of the analytic hierarchy process, the subjective assumption of constructing the judgment matrix can be reduced, the entropy weight method is combined to obtain the index combination weight, the influence of subjective factors is further reduced, the rationality and the accuracy are effectively improved, finally, the topsis method introducing the weight is adopted for evaluation, the objectivity and the reliability of the evaluation result are integrally guaranteed, and the investment effect of the power distribution network construction project can be scientifically and comprehensively evaluated. In addition, the invention also provides a corresponding device, equipment and a computer readable storage medium for the comprehensive evaluation method of the power distribution network considering the multi-mode energy storage station, so that the method has higher practicability, and the device, the equipment and the computer readable storage medium have corresponding advantages.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The method, the device and the equipment for comprehensively evaluating the power distribution network with the multi-mode energy storage station are introduced in detail, specific examples are applied in the method to explain the principle and the implementation mode of the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A comprehensive evaluation method for a power distribution network considering a multi-mode energy storage station is characterized by comprising the following steps:
establishing an index evaluation system;
carrying out forward and standardization processing on the indexes in the index evaluation system to obtain a standardization matrix;
acquiring index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers;
and obtaining a comprehensive evaluation result by a topsis method introducing weight according to the standardized matrix and the obtained index combination weight.
2. The comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station as claimed in claim 1, wherein the index evaluation system comprises a target layer, a criterion layer and a scheme layer; the target layer is the final target of the evaluation object, the criterion layer is various criteria adopted for realizing the preset target, and the scheme layer is various measures for solving problems.
3. The comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station according to claim 2, wherein the step of performing forward and standardization processing on the indexes in the index evaluation system to obtain a standardized matrix comprises the following steps:
classifying the indexes in the index evaluation system according to a set rule;
carrying out forward processing on the classified indexes;
and carrying out standardization processing on the indexes subjected to the forward processing to obtain a standardization matrix.
4. The comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station as recited in claim 3, wherein the obtaining of the index combination weight by the entropy weight method and the analytic hierarchy process introducing the triangular fuzzy number comprises:
calculating the characteristic proportion of each evaluation object under each index according to the standardized matrix;
calculating entropy values of all indexes according to the characteristic specific gravity;
calculating the information utility value of each index according to the entropy value of each index;
obtaining the weight of each index according to the information utility value of each index;
introducing a triangular fuzzy number in the chromatography, and replacing a point value form with a fuzzy interval form;
establishing a triangular fuzzy number judgment matrix; the triangular fuzzy judgment matrix is a positive and reciprocal judgment matrix;
constructing fuzzy judgment factors of the forward and reverse judgment matrix to obtain an adjustment judgment matrix;
adjusting the index weight according to the adjustment judgment matrix;
and obtaining the index combination weight by adopting a multiplication combination method according to the adjusted index weight.
5. The comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station as claimed in claim 4, wherein the establishing of the triangular fuzzy number judgment matrix comprises:
establishing a first judgment matrix of the criterion layer for the target layer, and quantitatively expressing each element in the first judgment matrix according to a pairwise comparison result between indexes to obtain a corresponding triangular fuzzy judgment matrix;
and establishing a second judgment matrix of the scheme layer for the criterion layer, and quantitatively expressing each element in the second judgment matrix according to a pairwise comparison result between indexes to obtain a corresponding triangular fuzzy judgment matrix.
6. The comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station according to claim 5, wherein after the establishing the triangular fuzzy number judgment matrix, the method further comprises:
and carrying out consistency check on the established triangular fuzzy judgment matrix.
7. The comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station according to claim 6, wherein the adjusting of the index weight comprises:
obtaining the index weight of the criterion layer relative to the target layer by a sum-product method;
obtaining the index weight of the scheme layer relative to the criterion layer by a sum-product method;
and obtaining the index weight of the scheme layer relative to the target layer according to the weight of the scheme layer relative to the criterion layer and the weight of the criterion layer relative to the target layer.
8. The comprehensive evaluation method for the power distribution network considering the multi-mode energy storage station according to claim 7, wherein the obtaining of the comprehensive evaluation result by a topsis method introducing weights according to the standardized matrix and the obtained index combination weights comprises:
obtaining the maximum value and the minimum value of the standardized matrix corresponding to each evaluation object by a topsis method introducing weight;
and combining the index combination weight to obtain the distance between each evaluation object and the maximum value and the minimum value so as to obtain a comprehensive evaluation result.
9. The utility model provides a take into account distribution network comprehensive evaluation device of multi-mode energy storage station which characterized in that includes:
the system establishing module is used for establishing an index evaluation system;
the index processing module is used for carrying out forward and standardization processing on the indexes in the index evaluation system to obtain a standardization matrix;
the weight obtaining module is used for obtaining index combination weight by adopting an entropy weight method and an analytic hierarchy process introducing triangular fuzzy numbers;
and the comprehensive evaluation module is used for obtaining a comprehensive evaluation result through a topsis method introducing weight according to the standardized matrix and the acquired index combination weight.
10. An integrated evaluation device for a power distribution network considering multi-mode energy storage stations, which comprises a processor and a memory, wherein the processor executes a computer program stored in the memory to realize the integrated evaluation method for the power distribution network considering multi-mode energy storage stations as claimed in any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111395834.3A CN114091908A (en) | 2021-11-23 | 2021-11-23 | Power distribution network comprehensive evaluation method, device and equipment considering multi-mode energy storage station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111395834.3A CN114091908A (en) | 2021-11-23 | 2021-11-23 | Power distribution network comprehensive evaluation method, device and equipment considering multi-mode energy storage station |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114091908A true CN114091908A (en) | 2022-02-25 |
Family
ID=80303339
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111395834.3A Pending CN114091908A (en) | 2021-11-23 | 2021-11-23 | Power distribution network comprehensive evaluation method, device and equipment considering multi-mode energy storage station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114091908A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115481906A (en) * | 2022-09-22 | 2022-12-16 | 中航机载系统共性技术有限公司 | Production line evaluation method, device, equipment and medium |
-
2021
- 2021-11-23 CN CN202111395834.3A patent/CN114091908A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115481906A (en) * | 2022-09-22 | 2022-12-16 | 中航机载系统共性技术有限公司 | Production line evaluation method, device, equipment and medium |
| CN115481906B (en) * | 2022-09-22 | 2024-04-16 | 中航机载系统共性技术有限公司 | Production line evaluation method, device, equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111898839B (en) | Importance degree classification method and device for power users | |
| CN105512465B (en) | Based on the cloud platform safety quantitative estimation method for improving VIKOR methods | |
| CN106845777A (en) | Case workload evaluation method, judge's performance evaluation techniques, modeling method, computing device and computer-readable recording medium | |
| Erpolat Taşabat | A novel multicriteria decision-making method based on distance, similarity, and correlation: DSC TOPSIS | |
| CN113537807B (en) | Intelligent wind control method and equipment for enterprises | |
| CN113111924A (en) | Electric power customer classification method and device | |
| CN112330153A (en) | Non-linear orthogonal regression-based industry scale prediction model modeling method and device | |
| CN115660170A (en) | Multidimensional index weight collaborative optimization data asset management effect differentiation evaluation method and system | |
| CN114091908A (en) | Power distribution network comprehensive evaluation method, device and equipment considering multi-mode energy storage station | |
| CN113011788B (en) | Emergency decision method for offshore traffic accident, terminal equipment and storage medium | |
| CN110765351A (en) | Target user identification method and device, computer equipment and storage medium | |
| CN114298659A (en) | Data processing method and device for evaluation object index and computer equipment | |
| CN112149976B (en) | Power grid accurate investment project decision method based on artificial intelligence | |
| CN107644285A (en) | The screening of power sales profitability evaluation index and Weight Determination and system | |
| CN112381422A (en) | Method and device for determining performance of photovoltaic power station | |
| CN109165854B (en) | Empty pipe operation efficiency grade evaluation method and device | |
| CN111832854A (en) | Maturity quantitative evaluation method and system for automobile research and development quality management system and readable medium | |
| CN114372835B (en) | Comprehensive energy service potential customer identification method, system and computer equipment | |
| Alamsyah et al. | Monte Carlo simulation and clustering for customer segmentation in business organization | |
| CN115689338A (en) | Multi-index-based power distribution network technology maturity evaluation method and system | |
| CN112039111A (en) | Method and system for participating in peak regulation capacity of power grid by new energy microgrid | |
| CN115660425A (en) | Windage yaw flashover risk evaluation method, system, equipment and readable storage medium | |
| CN114266485A (en) | Construction method and construction system of power information communication data quality detection model | |
| CN113052451A (en) | Performance evaluation method and device based on improved analytic hierarchy process | |
| CN101425157A (en) | Overall evaluation method for railway emergency scheme |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |