Fuzzy comprehensive evaluation method for economic operation of power distribution network
A technology of fuzzy comprehensive evaluation and fuzzy comprehensive evaluation, applied in the field of fuzzy comprehensive evaluation of economic operation of distribution network, can solve problems such as uncertainty, divergence of comprehensive score intervals, ambiguity, etc., to achieve outstanding substantive characteristics and wide application prospects 、Reliable effect of design principle
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Embodiment 1
[0058] Such as figure 1 As shown, the present invention provides a fuzzy comprehensive evaluation method for economic operation of a distribution network, which includes the following steps:
[0059] S1. Establish an evaluation index system for economic operation of the distribution network;
[0060] S2. Establish a comment set, and generate a standardized evaluation matrix of the economic operation evaluation index of the distribution network based on the comment set;
[0061] S3. Based on the entropy value modified AHP weighting, weight calculation of each distribution network economic operation evaluation index;
[0062] S4. Establish a fuzzy calculation model for the economic operation of the distribution network, and perform fuzzy processing calculations on the standardized evaluation matrix.
Embodiment 2
[0064] Such as figure 2 As shown, the present invention provides a fuzzy comprehensive evaluation method for economic operation of a distribution network, which includes the following steps:
[0065] S1. Establish an evaluation index system for the economic operation of the distribution network; the specific steps are as follows:
[0066] S11. Establish an evaluation index system for the economic operation of the distribution network according to the needs of the economic operation of the distribution network;
[0067] S12. Generate the hierarchical structure of the evaluation index system for the economic operation of the distribution network, the hierarchical structure including the target layer, the criterion layer and the factor layer;
[0068] S13. Generate elements of the quasi-measurement layer under the target layer of the economic operation evaluation index system of the distribution network;
[0069] S14. Generate the evaluation index elements of the factor level under each q...
Embodiment 3
[0085] The difference from Example 2 is that image 3 As shown,
[0086] The specific steps of step S32 are as follows:
[0087] S321. Sort the importance of each evaluation index according to the calculated entropy of the evaluation index;
[0088] S322. Calculate the average of the entropy value of the evaluation index in each quasi-measurement layer as the entropy value of the quasi-measurement layer;
[0089] S323. Sort the importance of each quasi-measurement layer according to the entropy value of the quasi-measurement layer;
[0090] The specific steps of step S33 are as follows:
[0091] S331. Establish a judgment matrix between two evaluation indexes according to the importance of evaluation indexes in each quasi-measurement layer;
[0092] S332. Calculate the random consistency ratio of the judgment matrix, and judge whether the random consistency ratio is less than the set value;
[0093] If yes, go to step S34;
[0094] If not, adjust and modify the judgment matrix, and return t...
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