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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yin Chen & Zhenli Tang & Xiaofeng Weng & Min He & Guanghong Zhang & Ding Yuan & Tao Jin, 2024. "A Novel Approach for Evaluating Power Quality in Distributed Power Distribution Networks Using AHP and S-Transform," Energies, MDPI, vol. 17(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:411-:d:1318948
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    References listed on IDEAS

    as
    1. Zheng, Xidong & Bai, Feifei & Zhuang, Zhiyuan & Chen, Zixing & Jin, Tao, 2023. "A new demand response management strategy considering renewable energy prediction and filtering technology," Renewable Energy, Elsevier, vol. 211(C), pages 656-668.
    2. Bulatov, Yu N. & Kryukov, A.V. & Suslov, K.V., 2022. "Group predictive voltage and frequency regulators for small hydro power plant in the context of low power quality," Renewable Energy, Elsevier, vol. 200(C), pages 571-578.
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