A Novel Approach for Evaluating Power Quality in Distributed Power Distribution Networks Using AHP and S-Transform

Yin Chen, Zhenli Tang (), Xiaofeng Weng, Min He, Guanghong Zhang, Ding Yuan and Tao Jin ()
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Yin Chen: Department of Electrical Engineering, Fuzhou University, Fuzhou 350116, China
Zhenli Tang: Fujian YILI Information Technology Co., Ltd., Fuzhou 350001, China
Xiaofeng Weng: Fujian YILI Information Technology Co., Ltd., Fuzhou 350001, China
Min He: Fujian YILI Information Technology Co., Ltd., Fuzhou 350001, China
Guanghong Zhang: Fujian Great Power Group Co., Ltd., Fuzhou 350001, China
Ding Yuan: Department of Electrical Engineering, Fuzhou University, Fuzhou 350116, China
Tao Jin: Department of Electrical Engineering, Fuzhou University, Fuzhou 350116, China

Energies, 2024, vol. 17, issue 2, 1-20

Abstract: As the penetration rate of new energy generation in distributed distribution networks continues to increase, the integration of numerous new energy power plants and associated power electronic devices presents challenges to the power quality of traditional power systems. Therefore, conducting power quality-related research in distribution networks is of significant importance for maintaining power system stability, safeguarding electrical equipment, and enhancing electrical safety. A framework for evaluating the overall power quality of new energy-penetrated distribution network systems based on the analytic hierarchy process (AHP) is proposed. This framework aggregates and calculates the global power quality index (GPQI) through averaging, thereby completing the assessment of power quality situations. By enhancing the computation speed of evaluation metrics through an improved S-transform and considering various disturbances such as diminished illumination, wind power disconnection, and high-current grounding, the GPQI values are used to assess power quality under diverse scenarios. Simulation and experimental results confirm the framework’s close alignment with real scenarios and its effectiveness in evaluating power quality within distribution networks. This method is crucial for maintaining power system stability, protecting electrical equipment, and enhancing overall electrical safety within distribution networks.

Keywords: distribution network; feature extraction; S-transform; power quality assessment; analytic hierarchy process (AHP) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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