Co-optimizing Consumption and EV Charging under Net Energy Metering
Systems and Control
2024-05-01 v2 Systems and Control
Abstract
We consider the co-optimization of flexible household consumption, electric vehicle charging, and behind-the-meter distributed energy resources under the net energy metering tariff. Using a stochastic dynamic programming formulation, we show that the solution to the dynamic programming co-optimization is a procrastination threshold policy that delays and minimizes electricity purchasing for EV charging in each time interval. The policy thresholds can be computed off-line, simplifying the continuous action space dynamic optimization to decoupled closed-form charging and consumption decisions. Empirical studies using renewable, consumption, and EV data demonstrate the benefits of co-optimization.
Cite
@article{arxiv.2211.11088,
title = {Co-optimizing Consumption and EV Charging under Net Energy Metering},
author = {Minjae Jeon and Lang Tong and Qing Zhao},
journal= {arXiv preprint arXiv:2211.11088},
year = {2024}
}