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Multiple Impact Factor Based Accuracy Analysis for Power Quality Disturbance Detection

Zijing Yang1, Haochen Hua2 (), Junwei Cao3
College of Electromechanical Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China
College of Energy and Electrical Engineering, Hohai University 211100, China
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
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Abstract

Nowadays, power quality problems are affecting people's daily life and production activities. With an aim to improve disturbance detection accuracy, a novel analysis approach, based on multiple impact factors, is proposed in this paper. First, a multiple impact factors analysis is implemented in which two perspectives, i.e., the wavelet analysis and disturbance features are simultaneously considered. Five key factors, including wavelet function, wavelet decomposition level, redundant algorithm, event type and disturbance intensity, and start and end moment of disturbance, have been considered. Next, an impact factor based accuracy analysis algorithm is proposed, through which each factor's potential impact on disturbance location accuracy is investigated. Three transforms, i.e., the classic wavelet, lifting wavelet and redundant lifting wavelet are employed, and their superiority on disturbance location accuracy is investigated. Finally, simulations are conducted for verification. Through the proposed method, the wavelet based parameters can be validly selected in order to accurately detect power quality disturbance.

Keywords

Disturbance location accuracyimpact factorspower qualitywavelet analysis

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CSEE Journal of Power and Energy Systems
Volume 9 Issue 1,
January 2023
Pages 88-99
DOI: 10.17775/CSEEJPES.2020.01270
Cite this article:
Yang Z, Hua H, Cao J. Multiple Impact Factor Based Accuracy Analysis for Power Quality Disturbance Detection. CSEE Journal of Power and Energy Systems, 2023, 9(1): 88-99. https://doi.org/10.17775/CSEEJPES.2020.01270
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