Electric Vehicle Fast Charging: A Congestion-Dependent Stochastic Model Predictive Control under Uncertain Reference

This paper presents a control strategy aimed at efficiently operating service area equipped with stations for plug-in electric vehicles’ fast charging, renewable energy sources, and an storage unit. The requirements here considered are in line the perspective of operator, who aims avoiding peaks power flow point connection distribution grid, while providing charging minimum time. Key aspects work include management uncertainty demand generation, design congestion state-dependent weights cost function, comparison performances two different hardware configurations plant, namely BUS UPS schemes. All above leads to stochastic model predictive controller tracking uncertain reference, under effect disturbance affecting output state plant schemes respectively. Simulation results show relevance proposed strategy, according incremental validation plan focused on selected references, mitigation congestion, stability operation over time, uncertainty.