Energy storage capacity configuration of electric vehicle charging station with PV under peak shaving mode

dc.contributor.affiliationState Grid Shanghai Electric Power Research Institute
dc.contributor.affiliationState Grid Shanghai Electric Power Research Institute
dc.contributor.affiliationState Grid Shanghai Electric Power Research Institute
dc.contributor.affiliationShanghai University of Electric Power
dc.contributor.affiliationShanghai University of Electric Power
dc.contributor.affiliationShanghai University of Electric Power
dc.contributor.authorShi, Shanshan
dc.contributor.authorZhang, Yu
dc.contributor.authorBao, Hailong
dc.contributor.authorHe, Yang
dc.contributor.authorWang, Yufei
dc.contributor.authorZhu, Li
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.detailedauthorShi, Shanshan, State Grid Shanghai Electric Power Research Institute, China
dc.contributor.detailedauthorZhang, Yu, State Grid Shanghai Electric Power Research Institute, China
dc.contributor.detailedauthorBao, Hailong, State Grid Shanghai Electric Power Research Institute, China
dc.contributor.detailedauthorHe, Yang, Shanghai University of Electric Power, China
dc.contributor.detailedauthorWang, Yufei, Shanghai University of Electric Power, China
dc.contributor.detailedauthorZhu, Li, Shanghai University of Electric Power, China
dc.date.accessioned2019-07-24T12:40:27Z
dc.date.available2019-07-24T12:40:27Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractBy analyzing the fast charging load and intermittent photovoltaic (PV) output connected to charging station, it combines the PV output power and electric vehicle (EV) charging power as equivalent load power, thus the energy storage system (ESS) capacity is configured according to equivalent load for the purpose of peak-shaving. The daily cost of charging station and the root mean square (RMS) of ESS charge-discharge power are taken as objective functions, the ratio of the upper and lower limit power of equivalent load to average charging power of EV are taken as decision variables respectively, so that an ESS capacity configuration model is established. The objective functions are optimized by NSGA-II algorithm with an improved cross distribution index(CDI), and the individuals of the first non-dominated layer after the final iteration are selected as optimal solution. According to the distribution of target values, the upper and lower limit powers of grid are determined, and the ESS capacity is calculated. The results show that the minimum cost is needed when ESS capacity is only enough to store intermittent residual PV energy. Meanwhile, the improved CDI based on the logistic function can better realize optimal solution of the algorithm and accelerate convergence speed of the solution in the later stage of evolution.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionDistributed energy resources and efficient utilisation of electricity
dc.description.sessionidSession 4
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/385
dc.identifier.urihttp://dx.doi.org/10.34890/613
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleEnergy storage capacity configuration of electric vehicle charging station with PV under peak shaving mode
dc.title.number1365
dc.typeConference Proceedings
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