Multi Objective Optimal Planning of Fast Charging station and Distributed Generators in a Distribution System

Abstract

Electrification in road networks plays an essential role in developing smart cities. The increasing demand for Electric Vehicles (EVs), Fast Charging Stations (FCT) is integrating into the Distribution System (DTS). Improper allocation of FCT in DST leads to an increase in active power loss, voltage deviation, and an increase in the cost of electrical energy consumption. In this paper, optimal placement and sizing of FCT and Distributed Generators (DGs) in DTS with multi-objective problems such as minimization of Real Power loss cost of DTS (RPD), Voltage Deviation (DVN), FCT Development Cost (SDFT), the EV User Cost Energy Consumption (ECUT) and Cost of DG (CDGs). To solve optimal citing and placement problems Pareto dominance-based GWO (Grey wolf optimizer) algorithm was used on the 118-bus distribution system. The Pareto optimal solutions were compared by fuzzy decision-making. Simulation results were compared with other algorithms such as NSGA-2 and PSO.