Synthetic evaluation of steady-state power quality based on combination weighting and principal component projection method

Jidong Wang; Wenjie Pang; Lipeng Wang; Xipin Pang; Ryuichi Yokoyama

doi:10.17775/CSEEJPES.2017.0020

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Synthetic evaluation of steady-state power quality based on combination weighting and principal component projection method

更新时间：2025-12-18

- Synthetic evaluation of steady-state power quality based on combination weighting and principal component projection method
- CSEE Journal of Power and Energy Systems Vol. 3, Issue 2, Pages: 160-166(2017)
- 作者机构：
  
  1. Tianjin University,, Tianjin, CN,Tianjin
  2. Waseda Daigaku, Shinjuku-ku, Tokyo, JP
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2017.0020
  CLC：
- Published：2017
- 稿件说明：
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Jidong Wang, Wenjie Pang, Lipeng Wang, et al. Synthetic evaluation of steady-state power quality based on combination weighting and principal component projection method[J]. CSEE Journal of Power and Energy Systems, 2017, 3(2): 160-166.
DOI：

Jidong Wang, Wenjie Pang, Lipeng Wang, et al. Synthetic evaluation of steady-state power quality based on combination weighting and principal component projection method[J]. CSEE Journal of Power and Energy Systems, 2017, 3(2): 160-166. DOI： 10.17775/CSEEJPES.2017.0020.

摘要

Abstract

With integration of renewable energy and use of non-linear loads in power systems

the power quality problem is increasingly attracting attention of researchers. In China

standards for individual power quality indexes are set. However

when evaluating power quality in practice

individual indexes cannot directly reflect a comprehensive level of power quality. In this paper

a comprehensive analysis of various indexes is conducted to obtain a unified parameter for describing the characteristics of power quality from an overall perspective. First

weight values of power quality indexes are calculated by combining the subjective and objective weight. Then

based on the principal components of the projection method

projection values of boundary data and data to be evaluated are obtained. Finally

using these projection values

a grade range for power quality data is located. A practical case study is presented to show the validity of the proposed method for evaluating power quality.

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