The current distribution system may be unreliable and inefficient if a large number of electric vehicles connect to it This is because the grid technology currently in use has hardly changed since it was developed In this thesis an electric vehicle photovoltaic-based charging station equipped with an energy storage system is studied and an algorithm for economic dispatch of the controllable resources in such a station to overcome the grid shortage is presented Mathematical models for a subsidy-free integration of photovoltaic and energy storage systems in a charging station are developed along with a blueprint to optimize the contract capacity of the charging station A chance-constrained programming method is proposed based on photovoltaic uncertainty to determine the optimal dispatch and contracted power from the utility such that the charging cost of the electric vehicle is minimized Simulations are conducted in this study for a comparison with the existing method The numerical results indicate that the proposed approach provides a range of contract capacity sizes that benefits both the aggregator of the charging station and electric vehicle users Additionally the thesis demonstrates how vehicles can be reliable agents in supporting the grid when photovoltaic panels fail while minimizing their charging costs
Date of Award | 2020 |
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Original language | English |
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Supervisor | Hong-Tzer Yang (Supervisor) |
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Energy Management Strategy for EV Charging Station with ESS and PV Considering PV Generation Uncertainty
馬安, 祖. (Author). 2020
Student thesis: Doctoral Thesis