Demand Response Resource Management for Smart Home with Electric Vehicle Using JAYA Optimization

The electric vehicles (EVs) are being developed at a rapid pace today and offer considerable environmental and economic benefits, as well as the ability to respond to demand (DR). The EV load scheduling provides end energy users with a method of reducing their electricity bills as well as reducing the peak load demand burden on utilities. This work seeks to identify the ideal power flow and lower the total daily charging costs of PHEVs based on various restrictions, such as power balancing constraints and battery charging/discharging limits. In the present study, a mathematical model of electric vehicles is used as a way to represent loads and energy sources during charging and discharging. When power costs are low or demand is low, the charging approach is utilized. When prices are high and demand is high, the energy that has been saved is used. The mathematical findings employing JAYA optimization techniques for load balancing and cost reduction support the advantages of the suggested energy management approach. The suggested approach outperforms standard approaches in a number of key ways.