An Optimized EV Charging Model Considering TOU Price and SOC Curve

TLDR

Large‑scale EV deployment is expected to create intermittent charging loads that can bottleneck supply capacity and threaten power‑system security. This study proposes an intelligent method to control EV charging loads in response to time‑of‑use pricing within a regulated market. An optimized charging model is formulated to minimize cost, and a heuristic that accounts for the relationship between acceptable charging power and state of charge is applied, with cost and energy demand compared across time intervals for typical and optimized patterns. The optimized charging pattern significantly reduces cost and flattens the load curve when peak and valley periods are appropriately partitioned.

Abstract

Large-scale deployment of electric vehicles (EVs) is anticipated in the foreseeable future. Heavy intermittent charging load of EVs will create bottlenecks in supplying capacity and expose power system to severe security risks. In this paper, we propose an intelligent method to control EV charging loads in response to time-of-use (TOU) price in a regulated market. First, an optimized charging model is formulated to minimize the charging cost. Then, a heuristic method is implemented to minimize the charging cost considering the relation between the acceptable charging power of EV battery and the state of charge (SOC). Finally, the charging cost and energy demand in different time intervals are compared for both typical charging pattern and optimized charging pattern. Results show that the optimized charging pattern has great benefit in reducing cost and flatting the load curve if the peak and valley time periods are partitioned appropriately.