Online energy management of PV-assisted charging station under time-of-use pricing

doi:10.1016/j.epsr.2016.04.002

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	Online energy management of PV-assisted charging station under time-of-use pricing
	Liu, Nian 1; Zou, Fuqiang 1; Wang, Lingfeng 2; Wang, Cheng 1; Chen, Zhineng3 ; Chen, Qifang 1
刊名	ELECTRIC POWER SYSTEMS RESEARCH
	2016-08-01
卷号	137 页码:76-85
关键词	Electric Vehicle Online Decision-making Charging Station Photovoltaic System Energy Management
DOI	10.1016/j.epsr.2016.04.002
文献子类	Article
英文摘要	In order to maximize the operation profit while maintaining the service quality, an effective energy management scheme is highly needed for the Photovoltaic-assisted Charging Station (PVCS). Considering the uncertainty of Electric Vehicle (EV) charging demand and PV power output, it will be challenging to determine the charging power for EVs to make informed real-time decisions. In this study, an online energy management method leveraging both offline optimization and online learning is proposed. In order to maximize the self-consumption of Photovoltaic (PV) energy and decide the power supplied from the power grid with Time-of-Use (TOU) pricing, here online learning is coupled with the rule based decision-making to obtain a real-time online algorithm. The knowledge base for online learning is derived and updated from the results of offline optimization after every operation day. The PVCS located at workplace parking lots is used as an example to test the proposed method. The simulation results show that the method can be implemented without the information on future PV power and charging demand. The obtained results are close to the optimal results from offline optimization. (C) 2016 Elsevier B.V. All rights reserved.
WOS关键词	ELECTRIC VEHICLES ; SYSTEM ; OPTIMIZATION ; STRATEGY ; IMPACTS ; MODEL ; WIND
WOS研究方向	Engineering
语种	英语
WOS记录号	WOS:000376806100010
资助机构	National Natural Science Foundation of China(51277067 ; Fundamental Research Funds for the Central Universities(2015ZD02) ; 51577059)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/12179]
专题	数字内容技术与服务研究中心_听觉模型与认知计算
作者单位	1.North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China 2.Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53211 USA 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Liu, Nian,Zou, Fuqiang,Wang, Lingfeng,et al. Online energy management of PV-assisted charging station under time-of-use pricing[J]. ELECTRIC POWER SYSTEMS RESEARCH,2016,137:76-85.
APA	Liu, Nian,Zou, Fuqiang,Wang, Lingfeng,Wang, Cheng,Chen, Zhineng,&Chen, Qifang.(2016).Online energy management of PV-assisted charging station under time-of-use pricing.ELECTRIC POWER SYSTEMS RESEARCH,137,76-85.
MLA	Liu, Nian,et al."Online energy management of PV-assisted charging station under time-of-use pricing".ELECTRIC POWER SYSTEMS RESEARCH 137(2016):76-85.