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An Integrative DR Study for Optimal Home Energy Management Based on Approximate Dynamic Programming
Li HP(李鹤鹏); Zeng P(曾鹏); Zang CZ(臧传治); Yu HB(于海斌); Li SH(李署辉)
作者部门工业控制网络与系统研究室
关键词Demand Response Home Energy Management System Approximate Dynamic Programming Vehicle-to-home Vehicle-to-grid
发表期刊SUSTAINABILITY
ISSN2071-1050
2017
卷号9期号:7页码:1-19
收录类别SCI
WOS记录号WOS:000406709500175
产权排序1
资助机构National Natural Science Foundation of China [61503371, 61503373] ; Chinese Academy of Sciences Program for energy management system of smart microgrid, Science and Technology Project of State Grid Liaoning Electric Power Supply Co., Ltd [5222AS15006G]
摘要This paper presents an integrative demand response (DR) mechanism for energy management of appliances, an energy storage system and an electric vehicle (EV) within a home. The paper considers vehicle-to-home (V2H) and vehicle-to-grid (V2G) functions for energy management of EVs and the degradation cost of the EV battery caused by the V2H/V2G operation in developing the proposed DR mechanism. An efficient optimization algorithm is developed based on approximate dynamic programming, which overcomes the challenges of solving high dimensional optimization problems for the integrative home energy system. To investigate how the participation of different home appliances affects the DR efficiency, several DR scenarios are designed. Then, a detailed simulation study is conducted to investigate and compare home energy management efficiency under different scenarios.
语种英语
WOS标题词Science & Technology ; Life Sciences & Biomedicine
WOS类目Environmental Sciences ; Environmental Studies
关键词[WOS]DEMAND RESPONSE ; COST
WOS研究方向Environmental Sciences & Ecology
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/20873
专题工业控制网络与系统研究室
通讯作者Zeng P(曾鹏)
作者单位1.Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Department of Electrical & Computer Engineering, the University of Alabama, Tuscaloosa, AL 35487, USA
推荐引用方式
GB/T 7714
Li HP,Zeng P,Zang CZ,et al. An Integrative DR Study for Optimal Home Energy Management Based on Approximate Dynamic Programming[J]. SUSTAINABILITY,2017,9(7):1-19.
APA Li HP,Zeng P,Zang CZ,Yu HB,&Li SH.(2017).An Integrative DR Study for Optimal Home Energy Management Based on Approximate Dynamic Programming.SUSTAINABILITY,9(7),1-19.
MLA Li HP,et al."An Integrative DR Study for Optimal Home Energy Management Based on Approximate Dynamic Programming".SUSTAINABILITY 9.7(2017):1-19.
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