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Power Quality Assessment Based on Rough AHP and Extension Analysis

Guofeng Liu*, Can Zhang, Zhengyi Zhu, Xuyan Wang

State Grid Nanjing Power Supply Company, Nanjing, 210019, China

* Corresponding Author: Guofeng Liu. Email: email

(This article belongs to this Special Issue: Advances in Modern Electric Power and Energy Systems)

Energy Engineering 2022, 119(3), 929-946.


Due to the increasing power consumption of whole society and widely using of new non-linear and asymmetric electrical equipment, power quality assessment problem in the new period has attracted more and more attention. The mathematical essence of comprehensive assessment of power quality is a multi-attribute optimal decision-making problem. In order to solve the key problem of determining the indicator weight in the process of power quality assessment, a rough analytic hierarchy process (AHP) is proposed to aggregate the judgment opinions of multiple experts and eliminate the subjective effects of single expert judgment. Based on the advantage of extension analysis for solving the incompatibility problem, extension analysis method is adopted to assess the power quality. The assessment grades of both total power quality and each assessment indicator are obtained by correlation function. Through a case of 110 kV bus of a converting station in a wind farm of China, the feasibility and effectiveness of the propose method are demonstrated. The result shows that the proposed method can determine the overall power quality of power grid, as well as compare the differences among the performance of assessment indicators and provide the basis for further improving of power quality.


Cite This Article

Liu, G., Zhang, C., Zhu, Z., Wang, X. (2022). Power Quality Assessment Based on Rough AHP and Extension Analysis. Energy Engineering, 119(3), 929–946.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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