Grey Wolf Optimization Based Demand Side Management in Solar PV Integrated Smart Grid Environment

Most of world’s electrical energy demand is fulfilled by natural resources (Oil, Coal, Gas, etc.) and there a huge gap between supply. Therefore, utilities are facing the problem peak load burden. Broadly speaking, to sustain future electricity renewable/alternate sources (solar, wind must be integrated with smart grid (SG) cope demand. These freely available, inexhaustible can used as an alternate source energy. For utilization energy, balance supply required at all instants time. In SG environment, most promising solution reduce burden on utility side management (DSM) which possible because property inertia. DSM permits types consumers alter their consumption pattern cost it helps reshape profile. this study, has been formulated single objective minimization utility. Although several optimization techniques listed in literature reduces but integration renewable limited residential only. paper, robust algorithm inspired lifestyle grey wolves, popularly known wolf (GWO) utilized solve proposed problem. The using GWO demonstrated three different cases-residential, commercial, industrial loads time use (TOU) pricing scheme without solar PV (SPVE). Validation displays remarkable reductions SPVE. Also, results compared existing research papers having identical data sets.