Open AccessPSO-based Siting and Sizing of Electric Vehicle Charging Stations
Author(s) -
Han Chen,
Jin Nie,
Bichao Ye
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1346/1/012022
Subject(s) - sizing , charging station , electric vehicle , automotive engineering , grid , service (business) , electricity , engineering , computer science , power (physics) , reliability engineering , electrical engineering , mathematics , business , physics , quantum mechanics , art , geometry , marketing , visual arts
With the rapid growth of the number of electric vehicles, the optimization of charging network is imminent. In this paper, a screening method for the siting and sizing of electric vehicle charging station is developed to minimize the total cost including capital investment on stations, EV charging stations’ operation cost and maintenance cost. Driving distance of electric vehicles and service radius of stations are taken into account to pick out the optimal sites of EV charging stations. A mathematical model with electric physical constraints is designed to distribute appropriate capacities for each EV charging station to prevent the negative effects on the power grid and the PSO optimization algorithm is applied to obtain the optimal sizing parameters. Finally, the IEEE 123-bus test feeder case study is used to confirm the validity of the proposed method and increase the economic benefits.