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Fault Diagnosis with False and/or Missing Alarms in Distribution Systems with Distributed Generators

Author

Listed:
  • Guang Shen

    (State Grid Hangzhou Xiaoshan Power Supply Company, Beiganshan Road 12, Hangzhou 311201, China)

  • Yong Zhang

    (State Grid Ningbo Power Supply Company, No. 1408 Liyuanbei Rd., Ningbo 315000, China)

  • Haifeng Qiu

    (State Grid Hangzhou Xiaoshan Power Supply Company, Beiganshan Road 12, Hangzhou 311201, China)

  • Chongyu Wang

    (School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, China)

  • Fushuan Wen

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Md. Abdus Salam

    (Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei)

  • Liguo Weng

    (State Grid Hangzhou Xiaoshan Power Supply Company, Beiganshan Road 12, Hangzhou 311201, China)

  • Bin Yu

    (State Grid Hangzhou Xiaoshan Power Supply Company, Beiganshan Road 12, Hangzhou 311201, China)

  • Jie Chen

    (State Grid Hangzhou Xiaoshan Power Supply Company, Beiganshan Road 12, Hangzhou 311201, China)

Abstract

A comprehensive method is presented in this work to locate faults in distribution systems with distributed generators (DGs). A two-level model is developed for this purpose with both telecommunication and telemetering data employed, so as to make good use of fused information for attaining a more credible optimization solution under scenarios with alarm distortions of feeder terminal units (FTUs) or loss during communication. First, at the upper level, an analytic model is developed to search all potential faulted sections/candidates based on the telecommunication data. Then, on the lower level, a model is presented using the telemetering data to identify the most likely fault location from the candidates provided by the upper model. The essential features of the two-level diagnosis model are demonstrated through a number of case studies. Simulation results have shown that the proposed approach is capable of not only locating the faulted section(s) in a distribution system with DGs but also identifying false and/or missing alarms.

Suggested Citation

  • Guang Shen & Yong Zhang & Haifeng Qiu & Chongyu Wang & Fushuan Wen & Md. Abdus Salam & Liguo Weng & Bin Yu & Jie Chen, 2018. "Fault Diagnosis with False and/or Missing Alarms in Distribution Systems with Distributed Generators," Energies, MDPI, vol. 11(10), pages 1-12, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2579-:d:172389
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    Cited by:

    1. Jae-Young Oh & Yong Tae Yoon & Jin-Man Sohn, 2024. "A Comprehensive Review of Alarm Processing in Power Systems: Addressing Overreliance on Fault Analysis and Projecting Future Directions," Energies, MDPI, vol. 17(13), pages 1-25, July.

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