Abstract:

Wind farms and solar cells are a valuable resource due to their ability to produce more, be more affordable, and more general acceptability. However, the uncertainty in their production due to lack of sunlight and continuous wind blowing at different hours of the day and night is a challenge. This article addresses the problem of planning the flexibility of electric vehicle charging and discharging to coordinate with wind and solar production and compensate for these uncertainties using the CPLEX solver. The planning of EVs is also aimed at minimizing the operating cost of the microgrid. Different scenarios related to loading, wind, and solar production are considered, and programming in R language is done. The scenario reduction method is used to select scenarios with the highest probability of occurrence, and the optimization problem is solved using integer linear programming. The results show that cost reduction through optimal planning for EVs and profitability for operators are achieved.