Co-optimizing Consumption and EV Charging under Net Energy Metering

We consider the co-optimization of flexible house-hold 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 optimal co-optimization follows a procrastination threshold policy that delays and minimizes electricity purchasing for EV charging. The policy thresholds can be computed off-line, simplifying the continuous action space dynamic optimization. Empirical studies using renewable, consumption, and EV data demonstrate 30 % and 65 % improvements in customer surplus over the state-of-the-art for the typical 6 and 8-hour scheduling horizons, respectively. The impacts of net energy metering parameters on the household surplus are also demonstrated.