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Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting

Author

Listed:
  • Xinwei Sun

    (State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China)

  • Shuangteng Han

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Yuhong Wang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Yunxiang Shi

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Jianquan Liao

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Zongsheng Zheng

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Xi Wang

    (State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China)

  • Peng Shi

    (State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China)

Abstract

When systems experience a severe fault, splitting, as the final line of defense to ensure the stability of the power system, holds immense significance. The precise selection of splitting sections has become the current focal point of research. Addressing the challenges of a large search space and unclear splitting sections, this paper introduces a grid structure optimization algorithm based on electrical coupling degree. Firstly, employing the theory of slow coherency, a generalized characteristic analysis of the system is conducted, leading to an initial division of coherency groups. Subsequently, an electrical coupling degree index, taking into account the inertia of generators, is proposed. This index can reflect the clarity of grid splitting. Furthermore, a two-layer optimization model for grid structure is constructed, utilizing the Proximal Policy Optimization (PPO) algorithm to optimize the grid structure. This process reduces the size of the splitting space and mitigates the difficulty of acquiring splitting sections. Finally, simulation validation is performed using the IEEE-118-bus system to demonstrate the effectiveness of the proposed optimization algorithm.

Suggested Citation

  • Xinwei Sun & Shuangteng Han & Yuhong Wang & Yunxiang Shi & Jianquan Liao & Zongsheng Zheng & Xi Wang & Peng Shi, 2024. "Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting," Energies, MDPI, vol. 17(4), pages 1-13, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:4:p:834-:d:1336634
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