Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 19, Pages: 1554-1564
Santosh Kumar Singh1*, Liangjing Yang1, Ma Hao1, Petros G Voulgaris2
1Electrical Engineering Department, Zhejiang University-University of Illinois at Urbana
Champaign Institute (ZJU-UIUC), Haining, China
2Mechanical Engineering Department, University of Nevada, Reno, USA
Email: [email protected]
Received Date:24 March 2021, Accepted Date:26 April 2021, Published Date:29 May 2021
Objective: To evaluate the performance of centralized scheduling scheme for charging/discharging of Electric Vehicles (EVs). Methods: To achieve optimal scheduling of EV charging and discharging, two schemes such as centralized and decentralized scheduling schemes are proposed and evaluated in this paper. Both schemes are intended to reshape the load profile through scheduled charging/discharging. Proposed schemes are tested for one day scheduling of 200 EVs. Findings: Optimal scheduling schemes require perfect information of EV and load so that the actual load can be used in simulation. However, actual load in the future interval is impossible to determine. In decentralized scheduling scheme, forecasted loads are used in the simulation. Hence, this scheme is called practical solution of EV scheduling. Novelty: Results demonstrate that, though the centralized scheduling scheme achieved the best results, it is impractical due to its dependency on future data and decentralized scheduling scheme is based on forecasted data which is the practical solution.
Keywords: Electric Vehicle; Vehicle to Grid; Grid to Vehicle
© 2021 Singh et al.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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