A Multiobjective Approach for Optimal Allocation of Charging Station to Electric Vehicles

A surge of Electric Vehicles (EV) is anticipated in the market in the near future, which will pose a challenge to avail charging facilities to the EV users at affordable rates. This paper presents a Locational Marginal Pricing(LMP) based multiobjective approach for optimal charging station allocation to different types of EVs in the market. With the main objectives of minimizing the charging cost and maximizing the amount of charging, the proposed approach also maximizes the profit of EV aggregator. The multiobjective optimization problem has been solved using two different methods, namely NSGA II and MOPSO and the results are compared. The efficacy of the proposed optimization approach was demonstrated by performing analysis on the 132kV Nagpur Ringmain system. The case study results show that a significant reduction in the charging cost is possible with the two optimization methods as opposed to random allocation. A comparison between the two methods suggest that NSGA II gives better results as compared to MOPSO.