Optimal Charging Scheduling of Electric Vehicle Considering Minimum Power Loss using Firefly Algorithm

With growing concerns about environmental pollution, carbon dioxide emissions, and reliance on fossil fuels energy, electric vehicles have received great attention due to clean and reliable energy supply worldwide. However, random charging of electric vehicles may lower the power system efficiency and affects its total stability. This paper presents an optimal coordinated charging of electric vehicles to achieve minimum power loss using a computational technique i.e., the Firefly Algorithm. The proposed algorithm considered some constraints such as the system's maximum load demand and voltage profile range and is tested on the IEEE 33-bus radial distribution network. The results are compared between the base load, uncoordinated and coordinated charging. The coordinated charging scheduling is further analyzed by varying the charging rate and observe its impact on the test network. The coordinated charging scheduling is also carried out using Evolutionary Programming and the convergence performance is compared to the proposed Firefly Algorithm. Results obtained show that the proposed algorithm achieves the optimization purpose by minimizing the power loss under a set of constraints.