Power distribution network reliability evaluation method based on combinational weighting and fuzzy scoring

Abstract

The invention relates to a power distribution network reliability evaluation method based on combinational weighting and fuzzy scoring. The method comprises the following steps of 1) weighting the reliability indexes of the power distribution network by use of a combinational weighting method composed of one subjective weighting method and (s-1) objective weighting methods, 2) getting the expected value of the weight vector of each index weight coefficient of each weighting method in the combinational weighting method, 3) calculating the subjective weight probability coefficient alpha i and the objective weight probability coefficient beta I of the i evaluation index by use of an expectancy method, 4) obtaining the probability coefficients alpha and beta of the subjective and objective weights in a combination weight by use of the least square method, 5) obtaining a combination weight vector omega according to the weight vector of each index weight coefficient of each weighting method in the combinational weighting method, and 6) performing quantitative scoring on the reliability index data of the power distribution network by use of a fuzzy scoring mechanism for determining a fuzzy typical point based on the delphi method, and obtaining the overall quantitative scoring result of the power distribution network. Compared with the prior art, the power distribution network reliability evaluation method based on combinational weighting and fuzzy scoring is capable of enabling the weight of each evaluation index to be more reasonable.

Description

technical field [0001] The invention relates to a distribution network reliability evaluation method, in particular to a distribution network reliability evaluation method based on combined weighting and fuzzy scoring. Background technique [0002] The reliability of power supply is an important part of the urban distribution network, and it is an aspect that the optimization and transformation of the distribution network is committed to improving. Nowadays, many large, medium and small cities are undergoing transformation and construction of distribution network. In order to provide intuitive guidance for the transformation and construction of distribution network, integrated and quantitative power supply reliability assessment of distribution network is very necessary. [0003] The key research indicators for the reliability evaluation of traditional distribution network power supply are RS-3, the average user outage time, the average number of user outage times and the eq...

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Problems solved by technology

Using a single method to determine the index weight, such as Delphi method, AHP method, entropy weight method, etc., this method has certain biases, such as subjective bias and objective bias, so that there is a certain deviation between the evaluation results and the actual situation, which is not conducive to Reflect the real situation of the distribution network; when using multiple methods to determine the weight, although the subjective and objective weights are optimized and combined, when evaluating the reliability-related indicators, only the evaluation results are divided into excellent, good, general, poor, The ranking of poor grades does not integrate and quantify the evaluation results of each index, the evaluation results are not intuitive enough, and cannot highlight the weak links that affect the reliability of power supply of the distribution network

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