Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management
文献类型：期刊论文
| 作者 | Wei, Qinglai1,2 ; Lewis, Frank L.3,4; Shi, Guang1,2; Song, Ruizhuo5
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| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
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| 出版日期 | 2017-12-01 |
| 卷号 | 64期号:12页码:9527-9537 |
| 关键词 | Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Home Energy Systems Optimal Control Smart Grid |
| DOI | 10.1109/TIE.2017.2711499 |
| 文献子类 | Article |
| 英文摘要 | In this paper, a novel error-tolerant iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal battery control and management problems in smart home environments with renewable energy. A main contribution for the iterative ADP algorithm is to implement with the electricity rate, home load demand, and renewable energy as quasi-periodic functions, instead of accurate periodic functions, where the discount factor can adaptively be regulated in each iteration to guarantee the convergence of the iterative value function. A new analysis method is developed to guarantee the iterative value function to converge to a finite neighborhood of the optimal performance index function, in spite of the differences of the electricity rate, the home load demand, and the renewable energy in different periods. Neural networks are employed to approximate the iterative value function and control law, respectively, for facilitating the implementation of the iterative ADP algorithm. Numerical results and comparisons are given to illustrate the performance of the developed algorithm. |
| WOS关键词 | NONLINEAR-SYSTEMS ; NEURAL-NETWORK ; TIME-SYSTEMS ; REINFORCEMENT ; DESIGN |
| WOS研究方向 | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000413946800035 |
| 资助机构 | National Natural Science Foundation of China(61374105 ; China NNSF(61120106011) ; China Education Ministry Project 111(B08015) ; 61533017 ; 61503379 ; 61673054 ; 61304079 ; 60964002 ; 61364007) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20752]  |
| 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, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Texas Arlington, Res Inst, Arlington, TX 76118 USA 4.Northeastern Univ, Shenyang 110036, Liaoning, Peoples R China 5.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Qinglai,Lewis, Frank L.,Shi, Guang,et al. Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2017,64(12):9527-9537. |
| APA | Wei, Qinglai,Lewis, Frank L.,Shi, Guang,&Song, Ruizhuo.(2017).Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,64(12),9527-9537. |
| MLA | Wei, Qinglai,et al."Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 64.12(2017):9527-9537. |
入库方式： OAI收割
来源：自动化研究所
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