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Robustly Cooperative Control of Transient Stability for Power System Considering Wind Power and Load Uncertainty by Distribution Preserving Graph Representation Learning (DPG)

Author

Listed:
  • Fang Yao

    (School of Electric Power and Architecture, Shanxi University, Taiyuan 030006, China
    School of Electrical and Electronics and Computer Engineering, University of Western Australia, Perth, WA 6009, Australia)

  • Xinan Zhang

    (School of Electrical and Electronics and Computer Engineering, University of Western Australia, Perth, WA 6009, Australia)

  • Tat Kei Chau

    (School of Electrical and Electronics and Computer Engineering, University of Western Australia, Perth, WA 6009, Australia)

  • Herbert Ho-ching Iu

    (School of Electrical and Electronics and Computer Engineering, University of Western Australia, Perth, WA 6009, Australia)

Abstract

Aiming at the influence of wind power and load uncertainty on the transient stability of a power system under low carbon mode, this paper first proposes a collaborative preventive and emergency control model of transient stability by distribution preserving graph representation learning (DPG). Second, the uncertainty set of wind power output and load demand is studied, and the mathematical form of the two-stage robust transient stability collaborative control model is proposed. Then, the latest artificial intelligence technology is embedded into the global optimization algorithm of the model so as to further improve the solving efficiency of the algorithm. Finally, based on the developed improved two-stage robust optimization framework, an effective collaborative control method for transient stability is developed. The transient stability prediction and control system developed in this project is not only conducive to large-scale wind power grid connection but also expected to make academic contributions to development of power system transient stability and practical simulation verification.

Suggested Citation

  • Fang Yao & Xinan Zhang & Tat Kei Chau & Herbert Ho-ching Iu, 2023. "Robustly Cooperative Control of Transient Stability for Power System Considering Wind Power and Load Uncertainty by Distribution Preserving Graph Representation Learning (DPG)," Energies, MDPI, vol. 16(5), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2413-:d:1086342
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    References listed on IDEAS

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    1. Xingmin Li & Hongwei Li & Shuaibing Li & Ziwei Jiang & Xiping Ma, 2021. "Review on Reactive Power and Voltage Optimization of Active Distribution Network with Renewable Distributed Generation and Time-Varying Loads," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, November.
    2. Sayed, Ahmed R. & Wang, Cheng & Bi, Tianshu, 2019. "Resilient operational strategies for power systems considering the interactions with natural gas systems," Applied Energy, Elsevier, vol. 241(C), pages 548-566.
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