Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems
文献类型：期刊论文
| 作者 | Yin, Linfei1; Luo, Shikui1; Wang, Yaoxiong2 ; Gao, Fang1; Yu, Jun3
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| 刊名 | IEEE ACCESS
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| 出版日期 | 2020 |
| 卷号 | 8 |
| 关键词 | Voltage control Optimization Power system stability Learning (artificial intelligence) Static VAr compensators Heuristic algorithms Coordinated secondary voltage control artificial emotional reinforcement learning complex-valued encoding dragonfly algorithm automatic voltage regulation multi-generator power systems |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2020.3028064 |
| 通讯作者 | Gao, Fang(fgao@gxu.edu.cn) |
| 英文摘要 | This article proposes a coordinated optimization and control algorithm for coordinated secondary voltage control (CSVC) in multi-generator power systems. Firstly, to obtain a smaller voltage deviation and avoid the curse of dimensionality simultaneously, an artificial emotional reinforcement learning (AERL) is applied to automatic voltage regulation (AVR). Secondly, to obtain a smaller fitness value with lesser random for the decentralized independent variables optimization problem of the CSVC, a complex-valued encoding dragonfly algorithm (CDA) is proposed. Thirdly, the CDA and the AERL are coordinated for the CSVC and the AVR in multi-generator power systems. To verify the control performance of the AERL and the convergence of the proposed CDA, three simulation cases, i.e., IEEE 57-bus, 118-bus and 300-bus systems, are considered. The simulation results show that the CDA-AERL effectively obtains the smallest control objectives and the convergence for the CSVC in multi-generator power systems. |
| WOS关键词 | OPTIMIZATION ALGORITHM ; WIND ; SCALE ; STABILITY ; TRACKING ; MATRIX ; FLOW |
| 资助项目 | Guangxi Natural Science Foundation[AD19245001] ; Guangxi Natural Science Foundation[2020GXNSFBA159025] ; National Natural Science Foundation of China[U1736123] ; National Natural Science Foundation of China[61773359] ; National Natural Science Foundation of China[61720106009] ; University of Science and Technology of China (USTC) Research Funds of the Double First-Class Initiative[YD2350002001] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000578635500001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Guangxi Natural Science Foundation ; National Natural Science Foundation of China ; University of Science and Technology of China (USTC) Research Funds of the Double First-Class Initiative |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/104542]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Gao, Fang |
| 作者单位 | 1.Guangxi Univ, Coll Elect Engn, Nanning 530004, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Linfei,Luo, Shikui,Wang, Yaoxiong,et al. Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems[J]. IEEE ACCESS,2020,8. |
| APA | Yin, Linfei,Luo, Shikui,Wang, Yaoxiong,Gao, Fang,&Yu, Jun.(2020).Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems.IEEE ACCESS,8. |
| MLA | Yin, Linfei,et al."Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems".IEEE ACCESS 8(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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