Abstract
Integration of electric vehicles (EVs) in the existing grid creates an unexpected increase in load demand which may cause instability in the power system. In this paper, the effects of integration of EV in 33-bus IEEE radial distribution system (RDS) are analyzed. Here, grid to vehicle (G2V) and vehicle to grid (V2G) mode of operations of EVs are considered. A Multi-Objective grasshopper optimization algorithm (MOGOA) is used for finding optimal allocation of EVs in RDS while minimizing cost of power loss, cost of power drawn from utility grid, and cost borne by EV owner. The result shows the performance of EV operated in G2V and V2G mode as compared to EV operated in the only G2V mode, so that both EV owner and utility grid will be benefited.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
