Optimal Capacity Estimation and Allocation of Distributed Generation Units with Suitable Placement of Electric Vehicle Charging Stations

The optimal capacity estimation and allocations of Distributed Generation (DG) units along with appropriate placement of Electric Vehicle charging stations (EVCS) makes a substantial contribution in curtailing power losses and improving the voltage stability of a system. In this regard, this paper formulates a multi-objective function to minimize the power losses and voltage deviation of buses in the distribution network. The optimization problem is solved using three different types of optimization algorithms, namely Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and Hybrid Particle Swarm Grey Wolf Optimization (HPSOGWO). To simulate the practical situation, voltage- dependent load and various electric vehicle (EV) charging patterns based on the location of EVCS are considered in this study. Solar photovoltaic, wind turbine, and diesel generator- based DGs are taken into account in this study. The proposed algorithm is tested on an IEEE 33 bus network considering different scenarios. The results obtained show that HPSOGWO provides the most optimal solution among all the considered algorithms, with the least power loss and voltage deviation for all scenarios.