Efficient Optimization Algorithm-Based Demand-Side Management Program for Smart Grid Residential Load

Incorporating demand-side management (DSM) into residential energy guarantees dynamic electricity in the domain by allowing consumers to make early-informed decisions about their consumption. As a result, power companies can reduce peak demanded and adjust load patterns rather than having build new production transmission units. Consequently, reliability is enhanced, net operating costs are reduced, carbon emissions mitigated. DSM be enhanced incorporating variety of optimization techniques handle large-scale appliances with wide range ratings. In this study, recent efficient algorithms such as binary orientation search algorithm (BOSA), cockroach swarm (CSO), sparrow (SSA) were applied methodology for community primary focus on decreasing Algorithm-based optimal will ultimately increase efficiency smart grid while simultaneously lowering cost The proposed makes use load-shifting technique regard. system, on-site renewable resources used avoid peaking plants costs. Internet-based ThingSpeak platform adopted real-time monitoring overall expenditure Peak demand, cost, computation time, robustness tests compared genetic (GA). According simulation results, produce extremely similar but BOSA has lower standard deviation (0.8) other (1.7 SSA 1.3 CSOA), making it more robust superior, addition minimizing (5438.98 cents USD (mean value) 16.3% savings).