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FUZZY SYNTHETIC EVALUATION OF POWER QUALITY BASED ON CHANGEABLE WEIGHT

Gengyin Li

Open publisher page 40 citations

Abstract

The quantified description from power quality synthetic evaluation is available for reference to the consumers in choosing the power suppliers, and it is also beneficial to fix the price according to the quality of electric energy. Combining the analytic hierarchy process (AHP) with fuzzy theory, at first the subjective weights are obtained, then by means of modifying the obtained subjective weights the changeable synthetic weights are formed, at last power quality at the point of common coupling(PCC) is evaluated by fuzzy synthetic evaluation and the power quality level and the power quality factor are obtained. Case results show that the proposed method is beneficial to distinguish power quality level and to conduct the quantitative and qualitative evaluation of power quality.

About this research paper

What this paper is about

The quantified description from power quality synthetic evaluation is available for reference to the consumers in choosing the power suppliers, and it is also beneficial to fix the price according to the quality of electric energy. Combining the analytic hierarchy process (AHP) with fuzzy theory, at first the subjective weights are obtained, then by means of modifying the obtained subjective weights the changeable synthetic weights are formed, at last power quality at the point of common coupling(PCC) is evaluated by fuzzy synthetic evaluation and the power quality level and the power quality factor are obtained. Case results show that the proposed method is beneficial to distinguish power quality level and to conduct the quantitative and qualitative evaluation of power quality.

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OpenAlex reports 40 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The quantified description from power quality synthetic evaluation is available for reference to the consumers in choosing the power suppliers, and it is also beneficial to fix the price according to the quality of electric energy. Combining the analytic hierarchy process (AHP) with fuzzy theory, at first the subjective weights are obtained, then by means of modifying the obtained subjective weights the changeable synthetic weights are formed, at last power quality at the point of common coupling(PCC) is evaluated by fuzzy synthetic evaluation and the power quality level and the power quality factor are obtained. Case results show that the proposed method is beneficial to distinguish power quality level and to conduct the quantitative and qualitative evaluation of power quality.

Key concepts: Fuzzy logic, Analytic hierarchy process, Reliability engineering, Quality (philosophy), Power quality, Computer science, Power (physics), Electric power quality

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