Designing Photovoltaic-assisted Electric Vehicle Charging Station via Benders Decomposition

The integration of electric vehicles, photovoltaic systems, and battery energy storage systems has garnered significant interest in recent times, as they offer promising opportunities for enhancing solar energy resource utilization and promoting grid-friendly energy consumption patterns. To this end, this study presents a novel methodology for optimizing the design of a photovoltaic-assisted electric vehicle charging station (EVCS), wherein the deployment of photovoltaic (PV) and battery energy storage systems (BESS) are simultaneously optimized. To tackle computational tractability challenges, a two-stage stochastic programming problem is formulated, and a Benders decomposition algorithm is tailored to achieve efficient computational performance. The numerical studies conducted in this study demonstrate the potential value of investing in PV panels and battery storage in EVCS. The proposed methodology can offer valuable insights for planning and designing future EVCS, which can contribute towards sustainable and efficient transportation systems.