Fuzzy logic based multi-objective approach for optimal allocation of charging stations for electric vehicles

Abstract

Electric vehicles are positioned to become an appealing alternative to conventional vehicles. When electric vehicle charging stations are integrated into the distribution system to recharge electric vehicles, their performance can suffer if they are not appropriately situated. This work provides a Battle Royal Optimization algorithm based on the fuzzy multi-objective functions used for two-stage and simultaneous optimal allocations of electric vehicle charging stations, distributed generators, and shunted capacitors in 69 bus radial distribution systems. The suggested method’s primary goal is to (a) minimise active power loss, (b) improve the substation power factor, (c) improve the distribution network’s voltage profile, and (d) distribute the optimal number of vehicles at charging stations. Furthermore, the performance of the existing system for higher EVs and distribution system loads is demonstrated. The simulation findings show that the simultaneous placement strategy produces superior results, such as the active power loss being reduced to 89.65% and the minimum voltage being enhanced to 0.9867 p.u. Additionally, the current system’s effectiveness under enhanced EVs and distribution system loads is shown.

Keywords

• Electric vehicles
• Electric vehicle charging stations
• Distributed generators
• Shunted capacitor
• Power factor