Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems
More and more renewable energy sources are integrated into novel power systems. The randomness and fluctuation of such renewable energy sources bring challenges to the static stability and safety analysis of novel power systems. In this work, a multilayer deep deterministic policy gradient is propos...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/4295384 |
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| _version_ | 1832547907574693888 |
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| author | Yun Long Youfei Lu Hongwei Zhao Renbo Wu Tao Bao Jun Liu |
| author_facet | Yun Long Youfei Lu Hongwei Zhao Renbo Wu Tao Bao Jun Liu |
| author_sort | Yun Long |
| collection | DOAJ |
| description | More and more renewable energy sources are integrated into novel power systems. The randomness and fluctuation of such renewable energy sources bring challenges to the static stability and safety analysis of novel power systems. In this work, a multilayer deep deterministic policy gradient is proposed to address the fluctuation of renewable energy sources. The proposed method is stacked with multilayer deep reinforcement learning methods that can be continuously updated online. The proposed multilayer deep deterministic policy gradient is compared with other deep learning algorithms. The feasibility, effectiveness, and superiority of the proposed method are verified by numerical simulations. |
| format | Article |
| id | doaj-art-375b82ee9a43421b8f02f4d5f14eb125 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-375b82ee9a43421b8f02f4d5f14eb1252025-02-03T06:42:48ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/4295384Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power SystemsYun Long0Youfei Lu1Hongwei Zhao2Renbo Wu3Tao Bao4Jun Liu5Guangzhou Power Supply BureauGuangzhou Power Supply BureauGuangzhou Power Supply BureauGuangzhou Power Supply BureauDigital Grid Research InstituteSchool of Electrical EngineeringMore and more renewable energy sources are integrated into novel power systems. The randomness and fluctuation of such renewable energy sources bring challenges to the static stability and safety analysis of novel power systems. In this work, a multilayer deep deterministic policy gradient is proposed to address the fluctuation of renewable energy sources. The proposed method is stacked with multilayer deep reinforcement learning methods that can be continuously updated online. The proposed multilayer deep deterministic policy gradient is compared with other deep learning algorithms. The feasibility, effectiveness, and superiority of the proposed method are verified by numerical simulations.http://dx.doi.org/10.1155/2023/4295384 |
| spellingShingle | Yun Long Youfei Lu Hongwei Zhao Renbo Wu Tao Bao Jun Liu Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems International Transactions on Electrical Energy Systems |
| title | Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems |
| title_full | Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems |
| title_fullStr | Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems |
| title_full_unstemmed | Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems |
| title_short | Multilayer Deep Deterministic Policy Gradient for Static Safety and Stability Analysis of Novel Power Systems |
| title_sort | multilayer deep deterministic policy gradient for static safety and stability analysis of novel power systems |
| url | http://dx.doi.org/10.1155/2023/4295384 |
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