Optimal Allocation and Sizing of Distributed Generation and Electric Vehicle Charging Stations using Artificial Bee Colony and Particle Swarm Optimization Algorithms

Distributed generation (DG) units are used to improve grid reliability and stability. Electric vehicle charging stations (EVCS) consume more power from the grid at peak periods. These two systems cannot be practically located on every part of the grid due to technical effects. In this study, two metaheuristic techniques are adopted to improve the voltage profile and minimise power losses by simultaneously allocating DG units and EVCS. The study employed the IEEE 33 bus test system in finding the solution. The study used standard Particle Swarm Optimization(PSO) and Artificial Bee Colony(ABC) algorithms for DG and EVCS allocation. The results show that PSO outperformed ABC and other algorithms in terms of the simultaneous allocation of DG units and EVCS. The power losses were 40.78% less when PSO is used for allocation. Buses 2 and 19 are the favorite buses for EVCS on an IEEE 33 bus system. The paper concludes that the addition of high-capacity EVCS should lead to the simultaneous introduction of DG units on the network.