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Risk Assessment of Smart Substation Relay Protection System Based on Markov Model and Risk Transfer Network

Author

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  • Dongliang Nan

    (School of Electrical Engineering, Xinjiang University, Urumqi 830047, China
    Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China)

  • Weiqing Wang

    (School of Electrical Engineering, Xinjiang University, Urumqi 830047, China)

  • Rabea Jamil Mahfoud

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Hassan Haes Alhelou

    (Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, Lattakia 2230, Syria)

  • Pierluigi Siano

    (Department of Management & Innovation Systems, University of Salerno, 84084 Salerno, Italy)

  • Mimmo Parente

    (Department of Management & Innovation Systems, University of Salerno, 84084 Salerno, Italy)

  • Lu Zhang

    (Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China)

Abstract

To effectively guarantee a secure and stable operation of a smart substation, it is essential to develop a relay protection system considering the real-time online operation state evaluation and the risk assessment of that substation. In this paper, based on action data, defect data, and network message information of the system protection device (PD), a Markov model-based operation state evaluation method is firstly proposed for each device in the relay protection system (RPS). Then, the risk assessment of RPS in the smart substation is carried out by utilizing the risk transfer network. Finally, to highly verify the usefulness and the effectiveness of the proposed method, a case study of a typical 220 kV substation is provided. It follows from the case study that the developed method can achieve a better improvement for the maintenance plan of the smart substation.

Suggested Citation

  • Dongliang Nan & Weiqing Wang & Rabea Jamil Mahfoud & Hassan Haes Alhelou & Pierluigi Siano & Mimmo Parente & Lu Zhang, 2020. "Risk Assessment of Smart Substation Relay Protection System Based on Markov Model and Risk Transfer Network," Energies, MDPI, vol. 13(7), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1777-:d:342483
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    References listed on IDEAS

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    1. Bingda Zhang & Yanjie Wu & Zhao Jin & Yang Wang, 2017. "A Real-Time Digital Solver for Smart Substation Based on Orders," Energies, MDPI, vol. 10(11), pages 1-16, November.
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    Cited by:

    1. Zhao, Xian & Chai, Xiaofei & Sun, Jinglei & Qiu, Qingan, 2021. "Optimal bivariate mission abort policy for systems operate in random shock environment," Reliability Engineering and System Safety, Elsevier, vol. 205(C).

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