Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids
文献类型：期刊论文
| 作者 | Wei, Qinglai1,2 ; Liu, Derong3; Lewis, Frank L.4; Liu, Yu5; Zhang, Jie1,6
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| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
 |
| 出版日期 | 2017-05-01 |
| 卷号 | 64期号:5页码:4110-4120 |
| 关键词 | Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Mixed Iteration Optimal Control Policy Iteration Smart Grid Value Iteration |
| DOI | 10.1109/TIE.2017.2650872 |
| 文献子类 | Article |
| 英文摘要 | In this paper, a novel mixed iterative adaptive dynamic programming (ADP) algorithm is developed to solve the optimal battery energy management and control problem in smart residential microgrid systems. Based on the data of the load and electricity rate, two iterations are constructed, which are P-iteration and V-iteration, respectively. The V-iteration is implemented based on value iteration, which aims to obtain the iterative control law sequence in each period. The P-iteration is implemented based on policy iteration, which updates the iterative value function according to the iterative control law sequence. Properties of the developed mixed iterative ADP algorithm are analyzed. It is shown that the iterative value function is monotonically nonincreasing and converges to the solution of the Bellman equation. In each iteration, it is proven that the performance index function is finite under the iterative control law sequence. Finally, numerical results and comparisons are given to illustrate the performance of the developed algorithm. |
| WOS关键词 | TIME NONLINEAR-SYSTEMS ; OPTIMAL TRACKING CONTROL ; NEURAL-NETWORK ; LEARNING ALGORITHM ; FEEDBACK-CONTROL ; STORAGE SYSTEM ; CONTROL SCHEME ; REINFORCEMENT ; MANAGEMENT ; DESIGN |
| WOS研究方向 | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000399674000065 |
| 资助机构 | National Natural Science Foundation of China(61233001 ; Open Research Project from SKLMCCS(20150104) ; 61273140 ; 61374105 ; 61379099 ; 61304079 ; 61673054 ; 61533017 ; 71402178 ; 61533019 ; 71232006 ; U1501251) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13637]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 4.Univ Texas Arlington, UTA Res Inst, Arlington, TX 76118 USA 5.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 6.Qingdao Acad Intelligent Ind, Qingdao 266000, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Qinglai,Liu, Derong,Lewis, Frank L.,et al. Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2017,64(5):4110-4120. |
| APA | Wei, Qinglai,Liu, Derong,Lewis, Frank L.,Liu, Yu,&Zhang, Jie.(2017).Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,64(5),4110-4120. |
| MLA | Wei, Qinglai,et al."Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 64.5(2017):4110-4120. |
入库方式： OAI收割
来源：自动化研究所
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