Siting And Sizing Of An Electric Vehicle Charging Station Using Meta-Heuristic Algorithm [The Case Of Aamusted Campus]

Abstract

Electric Vehicle Charging Station(s) (EVCS) and their integration within the power distribution systems particularly on the Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED) campus. The challenges and opportunities related to the adoption of EVs on AAMUSTED campus electrical network are investigated including the sizing and placement of EVCS using the Particle Swarm Optimization (PSO) algorithm. The Electrical Transient Analyzer Program (ETAP) is utilized to model the 11kV distribution system at AAMUSTED. The optimized EVCS placement is assessed and compared to the existing system. The complexities and considerations of installing EVCS, tackling challenges related to power loss and voltage profile within the campus's distribution system are examined. The Backward/Forward Sweep (BFS) method analysis is employed to scrutinize the load flow, while the Particle Swarm Optimization (PSO) algorithm was used to ascertain the size and placement of EVCS using five distinct cases. The outcome illustrated the substantial impact of employing the PSO algorithm in the allocation and sizing of EVCS. The analysis of various scenarios on the AAMUSTED 11 kV distribution system demonstrates a favourable compromise to provide a balanced strategy for managing power losses and maintaining system stability