OPTIMIZED DSM IN SG WITH EV USING PARTICLE SWARM OPTIMIZATION (PSO) AND GREY WOLF OPTIMIZER (GWO)
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Demand-side management (DSM) has become an essential mechanism for improving the efficiency and flexibility of modern smart grid systems. The increasing use of electric vehicles (EVs) and use of renewable resources require proper co-ordination between electricity demand and supply for stability and economic reasons. In this paper, a review of the existing literature on demand side management strategies in a smart grid environment with a focus on the role of electric vehicles and their effects has been conducted. Research conducted on the co-ordination of EV charging, load shifting techniques and optimization-based demand scheduling has been studied. In addition to reviewing prior studies, this work introduces a conceptual optimization framework designed for DSM in smart grids that incorporate EV charging loads, renewable generation, and battery storage systems. The framework considers operational constraints such as generation limits, battery state-of-charge boundaries, and demand flexibility under time-of-use electricity pricing. It also provides an evaluation viewpoint for applying meta-heuristic optimization approaches like Particle Swarm Optimization (PSO) and Grey wolf Optimizer (GWO) to the problem of demand scheduling. Programming output simulated in MATLAB indicated the supremacy of GWO algorithm over PSO method in the aspects of reduced cost, computation time and efficiency. The proposed approach provides a foundation on which to conduct further investigation in enhancing energy management solutions to accommodate the increased penetration of EVs within Smart Grid infrastructure
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Rutuja.S.Kshirsagar, (2026). Optimized DSM in SG with EV using Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.400
Rutuja.S.Kshirsagar, . "Optimized DSM in SG with EV using Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO)." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.400.
Rutuja.S.Kshirsagar, . "Optimized DSM in SG with EV using Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO)." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.400.
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