A Novel Residential Energy Management System Based on Sequential Whale Optimization Algorithm and Fuzzy Logic
DOI:
https://doi.org/10.13052/dgaej2156-3306.3739Keywords:
Demand side management, optimization, fuzzy logic, energy management system.Abstract
Demand side management has become inevitable in today’s smart grid
environment to balance electricity supply and demand. Many methodolo-
gies/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 empow-
ered 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 devel-
oping 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
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