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Title :Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation
Authors :Huang, Yongyi
Yona, Atsushi
Takahashi, Hiroshi
Hemeida, Ashraf Mohamed
Mandal, Paras
Mikhaylov, Alexey
Senjyu, Tomonobu
Lotfy, Mohammed Elsayed
Issue Date :30-May-2021
Abstract :Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.
URL :https://doi.org/10.3390/su13116163
Type Local :雑誌掲載論文
ISSN :2071-1050
Publisher :MDPI
URI :http://hdl.handle.net/20.500.12000/48787
Citation :Sustainability Vol.13 no.11
Appears in Collections:Peer-reviewed Journal Articles (Faculty of Engineering)

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