Reduction of Power Losses and Voltage Profile Improvement in a Smart Grid Incorporated with Electric Vehicles

Governments worldwide have adopted energy-saving policies out of concern for the planet. System efficiency and renewable energy are needed to reduce greenhouse gas emissions, which cause climate change. Electricity generation is biggest polluter, followed by transportation. Electric vehicles would strain electricity infrastructure without technical solutions. This study uses a hybrid genetic algorithm particle sworn optimization (HGAPSO) find optimal switching feeder reconfiguration approach. Meet transmission constraints while reducing real power losses improving system bus voltage. In context change, what benefits employing HGAPSO approach as opposed GA method PSO method, respectively. increases network voltage dispersion. Improved algorithms can help solve this crucial issue. It many heuristic techniques reconfigure connectivity determine best configuration. Limit changes maintaining system’s radial structure lowering usage. MATLAB’s IEEE 33-bus communication evaluated procedure reliability performance. The results show that proposed reduces waste during standalone runs speeds up processing.