Symmetrical components analysis for managing phase imbalance in EV charge scheduling
Pages 401 - 405
Abstract
This paper studies the scenario of an EV charging facility in which scheduling is used to manage the overall power consumption profile. We address the concern of a possible imbalance in the resulting 3-phase load, due to an uneven EV loading of the different phases. We apply symmetrical component analysis to develop metrics that capture this imbalance in a convex fashion in the natural problem variables, namely individual EV charging rates. We incorporate this metric into an online optimization for EV scheduling, and test in a scenario from the Caltech Adaptive Charging Network; simulations demonstrate this method is able to improve phase balance with a minimal impact on the service provided to the EV customers.
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Zachary J. Lee, Daniel Chang, Cheng Jin, George S. Lee, Rand Lee, Ted Lee, and Steven H. Low. 2018. Large-Scale Adaptive Electric Vehicle Charging. In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). 1--7.
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- Symmetrical components analysis for managing phase imbalance in EV charge scheduling
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June 2022
630 pages
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Published: 28 June 2022
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