Demand Side Management in Power Grids through Particle Swarm Optimization Algorithm

The escalating energy usage and apprehensions about climate change have intensified the need for efficient Demand Side Management strategies inside power systems. DSM is an essential component in the equilibrium of demand and supply inside power grids since it focuses on optimizing energy consumption patterns among customers. Particle Swarm Optimization has appeared as a prominent optimization technique in recent years, showing aptitude in addressing intricate optimization challenges. This study examines the potential of the PSO method in efficiently managing demand-side resources inside power grids, emphasizing its benefits compared to conventional un-optimization systems. Furthermore, it highlights the advantages of integrating the PSO algorithm into power grid systems. It showcases the use of PSO as an effective approach for efficiently managing demand, mitigating peak loads, and enhancing grid dependability. These outcomes are crucial in fostering the development of sustainable energy systems.