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Volume 17
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Article

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

by
Xinwei Sun
1,
Shuangteng Han
2,
Yuhong Wang
2,
Yunxiang Shi
2,
Jianquan Liao
2,
Zongsheng Zheng
2,*,
Xi Wang
1 and
Peng Shi
1
1
State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
2
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
*
Author to whom correspondence should be addressed.
Energies 2024, 17(4), 834; https://doi.org/10.3390/en17040834
Submission received: 3 January 2024 / Revised: 26 January 2024 / Accepted: 7 February 2024 / Published: 9 February 2024
(This article belongs to the Section F: Electrical Engineering)
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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.
Keywords: proximal policy optimization; slow coherency; electrical coupling; grid splitting; optimization of the grid structure proximal policy optimization; slow coherency; electrical coupling; grid splitting; optimization of the grid structure

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MDPI and ACS Style

Sun, X.; Han, S.; Wang, Y.; Shi, Y.; Liao, J.; Zheng, Z.; Wang, X.; Shi, P. Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting. Energies 2024, 17, 834. https://doi.org/10.3390/en17040834

AMA Style

Sun X, Han S, Wang Y, Shi Y, Liao J, Zheng Z, Wang X, Shi P. Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting. Energies. 2024; 17(4):834. https://doi.org/10.3390/en17040834

Chicago/Turabian Style

Sun, Xinwei, Shuangteng Han, Yuhong Wang, Yunxiang Shi, Jianquan Liao, Zongsheng Zheng, Xi Wang, and Peng Shi. 2024. "Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting" Energies 17, no. 4: 834. https://doi.org/10.3390/en17040834

APA Style

Sun, X., Han, S., Wang, Y., Shi, Y., Liao, J., Zheng, Z., Wang, X., & Shi, P. (2024). Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting. Energies, 17(4), 834. https://doi.org/10.3390/en17040834

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