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Research on Damping Control Index of Ultra-Low-Frequency Oscillation in Hydro-Dominant Power Systems

Author

Listed:
  • Gang Chen

    (State Grid Sichuan Electric Power Research Institute, Chengdu 610072, China)

  • Chang Liu

    (State Grid Sichuan Electric Power Research Institute, Chengdu 610072, China)

  • Chengwei Fan

    (State Grid Sichuan Electric Power Research Institute, Chengdu 610072, China)

  • Xiaoyan Han

    (State Grid Sichuan Electric Power Company, Chengdu 610041, China)

  • Huabo Shi

    (State Grid Sichuan Electric Power Research Institute, Chengdu 610072, China)

  • Guanhong Wang

    (China Electric Power Research Institute, Haidian District, Beijing 100096, China)

  • Dongping Ai

    (China Electric Power Research Institute, Haidian District, Beijing 100096, China)

Abstract

In recent years, ultra-low-frequency oscillation (ULFO) is a prominent problem in power systems of dominant hydropower. In order to suppress ULFO, the most effective strategy is the governor parameters optimization to improve the system damping within the ultra-low-frequency band. However, no explicit standard has been established to stipulate the level of system damping for ULFO suppression. In this paper, the key factors that affect the amplitude and damping of ULFO are firstly analyzed. Then, the design principle of the damping control index of ULFO is put forward. According to it, a damping control index is proposed. After that, a case of ULFO in an actual power system proves the rationality of the proposed index. Finally, the application of the index in the Southwest China Power Grid illustrates its effectiveness and feasibility.

Suggested Citation

  • Gang Chen & Chang Liu & Chengwei Fan & Xiaoyan Han & Huabo Shi & Guanhong Wang & Dongping Ai, 2020. "Research on Damping Control Index of Ultra-Low-Frequency Oscillation in Hydro-Dominant Power Systems," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7316-:d:409865
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    References listed on IDEAS

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    Cited by:

    1. Lei Liu & Zheng Wu & Ze Dong & Shaojie Yang, 2022. "Modal Identification of Low-Frequency Oscillations in Power Systems Based on Improved Variational Modal Decomposition and Sparse Time-Domain Method," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    2. Lu, Xueding & Li, Chaoshun & Liu, Dong & Zhu, Zhiwei & Tan, Xiaoqiang, 2022. "Influence of water diversion system topologies and operation scenarios on the damping characteristics of hydropower units under ultra-low frequency oscillations," Energy, Elsevier, vol. 239(PE).
    3. Shuangqing Yan & Yang Zheng & Jinbao Chen & Yousong Shi, 2022. "Hydraulic Oscillation Analysis of the Hydropower Station with an Equivalent Circuit-Based Hydraulic Impedance Scheme," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    4. Liu, Dong & Li, Chaoshun & Malik, O.P., 2021. "Nonlinear modeling and multi-scale damping characteristics of hydro-turbine regulation systems under complex variable hydraulic and electrical network structures," Applied Energy, Elsevier, vol. 293(C).

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