With the growing number of electric vehicles (EVs) and the intermittent nature of renewable energy sources, there are challenges in managing the stability of the power grid and charging infrastructure. This paper suggests an innovative adaptive control mechanism for EV charging stations with photovoltaic (PV) power generators and battery energy storage systems (BESS). In this system, the adaptive control scheme uses Model Predictive Control (MPC), where prices are dynamically adjusted to schedule the optimal charging times, manage the grid load, and increase the usage of renewable energy. Based on actual solar energy and arrival rate of EVs, the results showed that the proposed adaptive scheme was able to minimize peak loads from the grid by 58.8%, increase the usage of renewable energy by 19.952% in comparison with non-adaptive schemes, and achieve SoC targets within 0.79% deviation.
Umadevi et al. (Thu,) studied this question.
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