نویسندگان | Maryam Ramezani,Hamid Falaghi |
---|---|
نشریه | IET Generation, Transmission and Distribution |
شماره صفحات | 960-971 |
شماره سریال | 15 |
شماره مجلد | 5 |
ضریب تاثیر (IF) | 2.213 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2021 |
رتبه نشریه | ISI |
نوع نشریه | چاپی |
کشور محل چاپ | ایران |
نمایه نشریه | JCR،Scopus |
چکیده مقاله
Environmental concerns of using fossil fuel vehicles and recent developments in electric vehicle (EV) technology have attracted the attention of the international community to use EVs. A design strategy is proposed by simultaneously considering a distribution network and an urban transportation network, that maximises drivers’ travel comfort in urban trips and reduces costs of both charging station (CS) installation and losses. The proposed strategy meets various constraints such as, properly locating CSs in the city, considering traffic volume, taking the shortest route, reducing charging waiting time, limits of bus voltages, power balance, the permissible loading of lines. The travel comfort index corresponds to a situation in which the driver does not experience a depleted battery and successfully finish the trip. Since the movement of vehicles over the course of a day does not follow any particular pattern, unscented transformation is used to investigate the uncertainty in different probabilistic parameters of EVs. Moreover, by clustering the locations of EVs, the optimal locations of EV CSs are determined over the course of the day (in several time steps) using a multi‐objective function based on a GA. The simulation results of the sample urban transportation and distribution networks confirm the efficacy of the proposed method.
tags: Multi‐objective optimization, locating, electric vehicle charging stations