Online energy management of PV-assisted charging station under time-of-use pricing
Liu, Nian1; Zou, Fuqiang1; Wang, Lingfeng2; Wang, Cheng1; Chen, Zhineng3; Chen, Qifang1
2016-08-01
发表期刊ELECTRIC POWER SYSTEMS RESEARCH
卷号137页码:76-85
文章类型Article
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.
关键词Electric Vehicle Online Decision-making Charging Station Photovoltaic System Energy Management
WOS标题词Science & Technology ; Technology
DOI10.1016/j.epsr.2016.04.002
关键词[WOS]ELECTRIC VEHICLES ; SYSTEM ; OPTIMIZATION ; STRATEGY ; IMPACTS ; MODEL ; WIND
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(51277067 ; Fundamental Research Funds for the Central Universities(2015ZD02) ; 51577059)
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000376806100010
引用统计
文献类型期刊论文
条目标识符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
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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.
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