Optimal Planning of Distributed Generation System for EV Charging Stations using Hybrid CPSO-ACA Optimization

Renewable energy-based distributed generators play a gigantic role in meeting current electrical supply demand worldwide. Many Studies reveal that the Integration of DGs in distribution systems is paving the way for a reliable supply system. It has also been noted that reliability cannot be achieved without optimal placement of distributed generators. Integration of renewable sources in distribution system needs optimization to ensure the reliable operation of entire power distribution network. On the other hand, if DGs operate in standalone mode, optimization again a crucial step. In this paper, a hybrid optimization approach has been reported by integrating hybrid chaotic particle swarm optimization with the Andean Condor Algorithm (CPSO-ACA) to find optimal plans for PV, wind, electrolyser, and fuel cell-based hybrid distributed generation systems.