A Probabilistic Approach to Determine Optimal Capacity and Location of Electric Vehicles Parking Lots in Distribution Networks

In this paper, a probabilistic approach based on the point estimate method is presented to determine the optimal capacity and location of electric vehicles (EVs) parking lots in distribution networks. For this purpose, uncertain parameters in driving patterns of vehicle owners are considered, and the effects of these uncertainties on determination of optimal capacity and profit from the construction of parking lots have been investigated. The proposed approach has considered both technical and economical aspects simultaneously. Additionally, because of the necessity of optimal schedule and the determination of EV charging and discharging time intervals to calculate the benefits of the amount of parking lot power exchange with a distribution network and EVs, a new approach is proposed to charge schedule of EVs. This method runtime, in addition to simple mechanism and global optimal responses, is very short. Finally, the presented probabilistic method is performed on two test distribution networks and obtained results are discussed.