Optimized Renewable Energy Integration for EV High-Power Dynamic Wireless Charging Systems

Conference · Mon Feb 01 00:00:00 EST 2021

DOI:https://doi.org/10.1109/ISGT49243.2021.9372265· OSTI ID:1772861

Zeng, Rong  ^[1]; Galigekere, Veda Prakash  ^[1]; Onar, Omer  ^[1]; Ozpineci, Burak  ^[1]

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1. ORNL

Dynamic wireless charging for electric vehicles is an emerging technology to reduce on-board battery size and extend driving range. Due to its unique characteristic of vehicle-speed-related pulse-like load profile, the high-power dynamic wireless charging system (DWCS) introduces high stress to the utility grid. In this paper, an optimization model for renewable energy integration in the DWCS is proposed to mitigate the grid impact and minimize the operation costs of the whole system. As the load profile of DWCS is related to the traffic volume and various approaching vehicle speeds, the annual average daily traffic data and a stochastic model are used to develop 24-hour load profile of DWCS. To find a tradeoff between grid impact mitigation and operation costs minimization, relationships among power demand from power grid, photovoltaic (PV) capacity, wind energy (WE) capacity and energy storage (ES) capacity are analyzed, and the optimization objective and constraints are developed. Numerical simulation results demonstrate that energy storage integration can greatly mitigate the grid impact of DWCS, and optimal ratio of PV and WE can significantly reduce the operation cost of DWCS.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1772861
• Resource Relation: Conference: IEEE Innovative Smart Grid Technologies Conference (ISGT) - Washington D.C. (virtual conference), District of Columbia, United States of America - 2/16/2021 5:00:00 AM-2/18/2021 5:00:00 AM
• Country of Publication: United States
• Language: English