A demand side management scheme for optimal power scheduling of industrial loads

Demand side management (DSM) is beneficial for the reduction in energy consumption during peak hours. DSM in large-scale buildings modifies the load profile of these extensive consumers, playing a significant role in reducing the peak load. This research work uses genetic algorithm (GA) to optimize the load curve of a large-scale building with industrial loads. The objectives are to mitigate the energy cost and peak to average ratio (PAR). An optimal schedule is generated for the industrial user based on controllable loads. The consumers are motivated to shift their loads to off-peak hours according to the provided schedule to reduce the peak load and cost of energy. Furthermore, DSM becomes more effective by integration with the renewable energy source distributed generator (DG). Cost reduction becomes more prominent because of load sharing between utility and renewable energy.