Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting
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 u...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/4/834 |
| _version_ | 1797298322473484288 |
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| author | Xinwei Sun Shuangteng Han Yuhong Wang Yunxiang Shi Jianquan Liao Zongsheng Zheng Xi Wang Peng Shi |
| author_facet | Xinwei Sun Shuangteng Han Yuhong Wang Yunxiang Shi Jianquan Liao Zongsheng Zheng Xi Wang Peng Shi |
| author_sort | Xinwei Sun |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T22:34:13Z |
| format | Article |
| id | doaj.art-139fabc3f69c495bb508e86070d256f6 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-07T22:34:13Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-139fabc3f69c495bb508e86070d256f62024-02-23T15:15:12ZengMDPI AGEnergies1996-10732024-02-0117483410.3390/en17040834Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable SplittingXinwei Sun0Shuangteng Han1Yuhong Wang2Yunxiang Shi3Jianquan Liao4Zongsheng Zheng5Xi Wang6Peng Shi7State Grid Sichuan Electric Power Research Institute, Chengdu 610041, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaState Grid Sichuan Electric Power Research Institute, Chengdu 610041, ChinaState Grid Sichuan Electric Power Research Institute, Chengdu 610041, ChinaWhen 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.https://www.mdpi.com/1996-1073/17/4/834proximal policy optimizationslow coherencyelectrical couplinggrid splittingoptimization of the grid structure |
| spellingShingle | Xinwei Sun Shuangteng Han Yuhong Wang Yunxiang Shi Jianquan Liao Zongsheng Zheng Xi Wang Peng Shi Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting Energies proximal policy optimization slow coherency electrical coupling grid splitting optimization of the grid structure |
| title | Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting |
| title_full | Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting |
| title_fullStr | Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting |
| title_full_unstemmed | Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting |
| title_short | Proximal Policy Optimization-Based Power Grid Structure Optimization for Reliable Splitting |
| title_sort | proximal policy optimization based power grid structure optimization for reliable splitting |
| topic | proximal policy optimization slow coherency electrical coupling grid splitting optimization of the grid structure |
| url | https://www.mdpi.com/1996-1073/17/4/834 |
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