Abstract
With increasing the penetration rate of electric vehicle (EV) usage, the challenge of finding an available parking slot has been turned into finding an available parking slot having EV charger in metropolitans. Smart charging reservation systems considering EV drivers’ preferences can facilitate finding an available charging station as well as managing the charging load of EVs in a parking lot. In this study, a bi-level optimization model is defined for minimizing the parking price of EV users, maximizing the profit of EV parking lot (PL) operator and the last one minimizing total power losses of the distribution network. A smart charging reservation system is used to select the EVs which are accepted for giving charging service considering several parameters. This reservation system was generated using Analytical Hierarchy Process (AHP) from Multi-Criteria Decision Making (MCDM) techniques. A PV system on the roof the PL is modelled to support the charging load of EVs at the PL. A mixed-integer linear programming model is established for solving the generated optimization problem.