Method and system for evaluating power consumption condition performance of electric power user

Abstract

The invention discloses a method and system for evaluating power consumption condition performance of an electric power user. The method comprises the following steps: solving first level index weights subjective weights of second level indexes corresponding to first level indexes by using an improved G1 algorithm; calculating correction weights of the second level indexes by using a modified intuitionistic fuzzy entropy method and the subjective weights; calculating performance evaluation scores of the first level indexes according to the correction weights by using a TOPSIS method based on an intuitionistic fuzzy set; and calculating an estimated value of power consumption condition performance of the electric power user according to the performance evaluation scores and the first level index weights. According to the method, based on the hierarchical comprehensive assessment method, the first level index weights are solved by using the improved G1 algorithm, the second level index weights are calculated by using the modified intuitionistic fuzzy entropy method, twice weighting integration is carried out on the index values of the levels, thereby reducing the influence of single weighting to the performance evaluation result, and expert experience and objective data are combined to reflect the subjective and objective evaluation information, which ensures the validity and the rationality of the performance evaluation.

Description

technical field [0001] The invention relates to the field of electrical technology, and in particular, to a method and system for evaluating the power consumption status of a power user. Background technique [0002] In the process of social development, energy has always played an important role. It is the driving force for social progress and development and the guarantee for maintaining social existence. At present, the world is generally faced with the crisis of energy shortage, which is opposite to a large amount of energy waste caused by improper management. How to use energy more rationally has become a worldwide research topic. [0003] The core of power energy efficiency evaluation lies in its reliable evaluation algorithm. In order to make the evaluation results as objective and comprehensive as possible, scholars at home and abroad have proposed various evaluation methods to quantify the qualitative indicators, so that the indicator system becomes computable, and...

AI Technical Summary

Problems solved by technology

[0004] However, the index system used in the above methods needs the support of the expert system. If the index given is unreasonable, the result obtained will be inaccurate; the weight of the index is mostly determined artificially, which has a large subjective randomness. And when the number of index sets is large, under the condition that the weight vector sum is 1, the relative membership weight coefficient of the fuzzy set is often too small, and the weight vector does not match the fuzzy matrix, resulting in super-fuzzy phenomenon and very low resolution. Poor, it is impossible to distinguish whose degree of membership is higher, and even cause the judgment to fail; decision makers often need to give their preference information on the importance of indicators

Due to the influence of many factors such as the complexity of the objective environment, the knowledge structure and professional level of decision makers, decision makers often cannot provide accurate preference information

However, the membership function value of the traditional fuzzy set is only a single value. In practical applications, it cannot express the evidence of support (affirmation), opposition (denial) and hesitation (uncertainty) at the same time. full information about the issue

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