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Multi-Information Fusion-Based Hierarchical Power Generation-Side Protection System

Author

Listed:
  • Xianggen Yin

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

  • Yikai Wang

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

  • Jian Qiao

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

  • Wen Xu

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China)

  • Xin Yin

    (Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3BX, UK)

  • Lin Jiang

    (Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3BX, UK)

  • Wei Xi

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China)

Abstract

With renewable power sources and new topology structures being widely introduced into the power system, the current local information-based power generation-side protection cannot fully guarantee the protection performance and the safety coordination with the power grid. This paper proposes an improved hierarchical protection system on the power generation-side. The proposed system takes advantage of the fusion of multi-information provided by the system, station and local layers. The system layer provides the information such as system voltage control and power regulation demand, so that the generation-side protection and control system can adapt to the system operation mode and power regulation demand. The station layer realizes the coordination of the protection principle and action strategy among the related units through information interaction with the power grid, the automatic control system and the local layer protection. The local layer introduces the condition monitoring information and more abundant protection information to enhance the protection performance and master the generation units’ safety condition. To illustrate the hierarchical protection system construction method and actual application mode, the multi-information fusion-based comprehensive local layer protection method and the multi-generators information fusion-based hierarchical protection method are taken as examples. Case analysis shows that the proposed methods can reflect more slight internal fault forms and can adaptively determine the protection action characteristic and tripping strategy according to the system operating conditions and other generators’ fault conditions, which effectively improve the protection sensitivity and coordination capability. To provide reference and inspiration for follow-up research, the hierarchical protection system construction mode, communication technology and research approaches of new protection methods are further pointed out.

Suggested Citation

  • Xianggen Yin & Yikai Wang & Jian Qiao & Wen Xu & Xin Yin & Lin Jiang & Wei Xi, 2021. "Multi-Information Fusion-Based Hierarchical Power Generation-Side Protection System," Energies, MDPI, vol. 14(2), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:327-:d:477315
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    References listed on IDEAS

    as
    1. Mohammad Bagher Abolhasani Jabali & Mohammad Hosein Kazemi, 2017. "Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach," Energies, MDPI, vol. 10(8), pages 1-14, July.
    2. Gyul Lee & Do-In Kim & Seon Hyeog Kim & Yong-June Shin, 2019. "Multiscale PMU Data Compression via Density-Based WAMS Clustering Analysis," Energies, MDPI, vol. 12(4), pages 1-17, February.
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    Citations

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    Cited by:

    1. Adam Dyśko & Dimitrios Tzelepis, 2022. "Protection of Future Electricity Systems," Energies, MDPI, vol. 15(3), pages 1-2, January.

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