Power quality comprehensive evaluation method and device based on intuitionistic fuzzy theory

Abstract

The invention provides a power quality comprehensive evaluation method and device based on an intuitionistic fuzzy theory, so as to solve the technical problem that in the current fuzzy method, the common defects in the case of fuzzy concept processing by various kinds of membership functions are that the fuzzy characteristics of each evaluation index relative to each quality level are not depicted in details, the membership of the index relative to the whole qualified range is only calculated generally, the power quality level is determined according to a normalized quantized value, the maximum membership principle conceals the difference between two memberships, and judgment deviation is caused to be over large.

Description

technical field [0001] The invention relates to the technical field of electric energy quality evaluation, in particular to a method and device for comprehensive evaluation of electric energy quality based on intuitionistic fuzzy theory. Background technique [0002] With the development of science and technology and the national economy, the user's demand for electric energy is increasing day by day, and the requirements for electric energy quality are also getting higher and higher. At present, countries around the world have formulated a series of standards for power quality. my country has formulated 6 national standards for power quality, mainly including: (1) voltage deviation; (2) frequency deviation; (3) harmonic content; (4) voltage Fluctuation and flicker; (5) Three-phase voltage unbalance. The standard stipulates the limit value range of various power quality indicators, which are technical indicators of power quality and are proposed from the perspective of wheth...

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Problems solved by technology

[0005] The present invention provides a method and device for comprehensive evaluation of power quality based on intuitionistic fuzzy theory, which solves the common defect of various membership degree functions in processing fuzzy concepts in the current fuzzy methods, which is that there is no detailed description of each evaluation index relative to each quality The fuzzy characteristics of the level are only to determine the power quality level according to the normalized quantitative value after the general calculation of the membership degree of the index relative to the entire qualified range. The principle of the maximum membership degree conceals the difference between the two membership degrees, leading to judgment Technical problem with too large deviation

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