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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, Ruizhuo5
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
2017-12-01
Volume64Issue:12Pages:9527-9537
SubtypeArticle
AbstractIn 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.
KeywordAdaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Home Energy Systems Optimal Control Smart Grid
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIE.2017.2711499
WOS KeywordNONLINEAR-SYSTEMS ; NEURAL-NETWORK ; TIME-SYSTEMS ; REINFORCEMENT ; DESIGN
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61374105 ; China NNSF(61120106011) ; China Education Ministry Project 111(B08015) ; 61533017 ; 61503379 ; 61673054 ; 61304079 ; 60964002 ; 61364007)
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000413946800035
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20752
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.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
Recommended Citation
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.
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