Aula 3, 10:15
Electric vehicles (EVs) will be dominating the mode of transport in future. Current limitations that discourage the promotion and use of EVs are the characteristics of the EV battery and lack of easy access to charging stations. For a solar photovoltaic (PV) based charging station (CS), optimal utilization of solar power results in an increased revenue and efficient utilization of related equipment.
Both the solar PV and the arrival of EVs for charging are highly stochastic. Therefore, there is a need to provide a storage facility to support the operation of the solar PV. In this work, both solar PV forecast, and the probability of EV arrival are considered to optimize the operation of an off-grid solar PV based commercial CS. A battery energy storage system (BESS) is used to realize maximum profit. BESS supports the sale of power when the solar PV generation is low and subsequently captures energy from the solar PV when the generation is high. Further, due to contrasting characteristics of the solar PV and EV charging pattern, strategies to maximize the profit are proposed. One such strategy is to optimally size the BESS to gain maximum profit. A mixed integer linear programming (MILP) method is used to determine the optimal solution.