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arXiv · 2507.12703

Joint Price and Power MPC for Peak Power Reduction at Workplace EV Charging Stations

Thibaud Cambronne·Samuel Bobick·Wente Zeng·Scott Moura
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Abstract

Demand charge, a utility fee based on an electricity customer's peak power consumption, often constitutes a significant portion of costs for commercial electric vehicle (EV) charging station operators. This paper explores control methods to reduce peak power consumption at workplace EV charging stations in a joint price and power optimization framework. We optimize a menu of price options to incentivize users to select controllable charging service. Using this framework, we propose a model predictive control approach to reduce both demand charge and overall operator costs. Through a Monte Carlo simulation, we find that our algorithm outperforms a state-of-the-art benchmark optimization strategy and can significantly reduce station operator costs.

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Thibaud Cambronne, Samuel Bobick, Wente Zeng, Scott Moura. 2025-07-17. Joint Price and Power MPC for Peak Power Reduction at Workplace EV Charging Stations. https://arxiv.org/abs/2507.12703

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