Abstract
At the University of Delaware, we are providing regulation services by controlling bidirectional power transfer between a fleet of electric vehicles (EVs) and the power grid. As EVs become more popular, thus increasing the size of our EV fleet, large-scale control will become an important challenge. Power transfer of thousands of EVs may need to be controlled in a way that considers driver requirements while providing regulation services. To cope with this challenge, we propose a grid-integrated vehicle (GIV) control approach that classifies EVs with similar charging characteristics into bins. Instead of calculating a charging schedule for each EV, this approach calculates a schedule for each bin, significantly reducing the scheduling problem computational complexity. In simulations, the proposed GIV control approach is compared against two alternative solutions: a centralized GIV approach and a distributed GIV approach. Our results show that this GIV approach can combine the scheduling qualities of a centralized GIV approach with the scalability of a distributed GIV approach.
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Vandael, S., Holvoet, T., Deconinck, G., Nakano, H., Kempton, W. (2020). A Scalable Control Approach for Providing Regulation Services with Grid-Integrated Electric Vehicles. In: Suzuki, T., Inagaki, S., Susuki, Y., Tran, A. (eds) Design and Analysis of Distributed Energy Management Systems. Power Electronics and Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-33672-1_6
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DOI: https://doi.org/10.1007/978-3-030-33672-1_6
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