An Integrative DR Study for Optimal Home Energy Management Based on Approximate Dynamic Programming
文献类型:期刊论文
作者 | Li HP(李鹤鹏); Zeng P(曾鹏)![]() ![]() ![]() |
刊名 | SUSTAINABILITY
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出版日期 | 2017 |
卷号 | 9期号:7页码:1-19 |
关键词 | Demand Response Home Energy Management System Approximate Dynamic Programming Vehicle-to-home Vehicle-to-grid |
ISSN号 | 2071-1050 |
产权排序 | 1 |
英文摘要 | 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. |
WOS关键词 | DEMAND RESPONSE ; COST |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000406709500175 |
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] |
源URL | [http://ir.sia.cn/handle/173321/20873] ![]() |
专题 | 沈阳自动化研究所_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.Department of Electrical & Computer Engineering, the University of Alabama, Tuscaloosa, AL 35487, USA 2.Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
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. |
入库方式: OAI收割
来源:沈阳自动化研究所
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