Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management

doi:10.1109/TIE.2017.2711499

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management
	Wei, Qinglai1,2 ; Lewis, Frank L.3,4; Shi, Guang1,2 ; Song, Ruizhuo 5
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
	2017-12-01
卷号	64 期号:12 页码:9527-9537
文章类型	Article
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.
关键词	Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Home Energy Systems Optimal Control Smart Grid
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TIE.2017.2711499
关键词[WOS]	NONLINEAR-SYSTEMS ; NEURAL-NETWORK ; TIME-SYSTEMS ; REINFORCEMENT ; DESIGN
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61374105 ; China NNSF(61120106011) ; China Education Ministry Project 111(B08015) ; 61533017 ; 61503379 ; 61673054 ; 61304079 ; 60964002 ; 61364007)
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:000413946800035
引用统计	被引频次：44[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/173211/20752
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
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
第一作者单位	中国科学院自动化研究所
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.