Multi-Objective Optimal Scheduling of Electric Vehicles in Distribution System

Abstract

In this paper we developed a multi-objective charging framework to optimally manage the real power dispatch of electric vehicles (EVs) incorporating vehicle to grid (V2G) approach. Objective function includes minimizing load variance and cost of charging associated with EVs present in residential area. Technique of order of preferences by similarity of ideal solution (TOPSIS) approach is used solve multiobjective scheduling problem. Scheduling optimization is carried out with grey wolf optimization (GWO). Comparative analysis of single and multi-objective scheduling is also presented in terms of losses, transformer peak load and line loading to illustrate the effectiveness of proposed approach. The proposed method is tested on 38-node distribution feeder and comprehensive analysis of simulation results is illustrated. Results show that with TOPSIS, solutions obtained are fairly favorable for both valley filling and cost minimization.