Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids
Wei, Qinglai1,2; Liu, Derong3; Lewis, Frank L.4; Liu, Yu5; Zhang, Jie1,6
2017-05-01
发表期刊IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷号64期号:5页码:4110-4120
文章类型Article
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.
关键词Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Mixed Iteration Optimal Control Policy Iteration Smart Grid Value Iteration
WOS标题词Science & Technology ; Technology
DOI10.1109/TIE.2017.2650872
关键词[WOS]TIME NONLINEAR-SYSTEMS ; OPTIMAL TRACKING CONTROL ; NEURAL-NETWORK ; LEARNING ALGORITHM ; FEEDBACK-CONTROL ; STORAGE SYSTEM ; CONTROL SCHEME ; REINFORCEMENT ; MANAGEMENT ; DESIGN
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61233001 ; Open Research Project from SKLMCCS(20150104) ; 61273140 ; 61374105 ; 61379099 ; 61304079 ; 61673054 ; 61533017 ; 71402178 ; 61533019 ; 71232006 ; U1501251)
WOS研究方向Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号WOS:000399674000065
引用统计
被引频次:22[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13637
专题复杂系统管理与控制国家重点实验室_平行控制
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
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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.
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