A Novel Residential Energy Management System Based on Sequential Whale Optimization Algorithm and Fuzzy Logic

Demand side management has become inevitable in today's smart grid environment to balance electricity supply and demand. Many methodologies/algorithms have been developed for realizing and implementing this technique at different levels of distribution systems. Advanced metering infrastructure and the latest communication technologies have empowered residential consumers to participate in the demand side management schemes. After careful investigations and analyses, the authors of this paper have made a decisive effort to propose a novel sequential strategy for developing an energy management system for scheduling loads of residential consumers. The proposed work aims at a fuzzy logic and an evolutionary algorithm-based approach of demand side management that considers the users' preference of operating time of the appliances at the residence of their choice, which has not been addressed earlier. This approach reduces the peak demand and cuts the cost of electricity per billing period for a consumer. This study also encourages the consumers to install solar rooftop PV systems by indicating the cost benefits reaped over a more extended period. The proposed framework is implemented in MATLAB, and the case studies prove the effectiveness of using this algorithm from the consumers' perspective. © 2021 River Publishers.