An Optimal Energy Management Strategy Under Hybrid Generation and Price-based Demand Response Program in Smart Grid

The hybrid generation system of a photovoltaic, energy storage system, electric vehicle, and utility has developed to solve energy management problems, and, therefore scheduling household energy consumption scheduling under such a hybrid generation system becomes important. Also, household load, electric vehicle, and energy storage systems are treated as the controllable load that is scheduled according to price-based DR programs for efficient energy management. This study aims to introduce and develop a heuristic optimization algorithm to solve the energy management problem of household controllable load with a hybrid generation system under price-based DR programs. To validate the performance, the proposed model is compared with the benchmark models like a genetic algorithm (GA) and without a scheduling scenario. Simulation results illustrate that the proposed energy management model manages energy consumption under a hybrid generation system to reduce electricity cost, peaks in demand, carbon emissions, and user-discomfort.