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@article{202274,
author = {Miss. Lakariya Priyanka Sunil and Dr. Tapre Pawan C},
title = {Implementation of Demand Side Management Strategies in Smart Grids for Peak Load Reduction},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {7058-7065},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=202274},
abstract = {Demand-Side Management (DSM) is an essential approach in smart grid systems for efficient utilization of electrical energy in residential sectors. It enables consumers to make informed decisions regarding their energy consumption, thereby reducing peak demand and improving overall grid reliability. This project focuses on the implementation of an optimization-based DSM strategy using MATLAB to manage residential load effectively.
The proposed system incorporates advanced optimization techniques such as Binary Orientation Search Algorithm (BOSA), Sparrow Search Algorithm (SSA), and Cockroach Swarm Optimization (CSO) to schedule household appliances. These algorithms help in shifting loads from peak hours to off-peak periods, thereby minimizing electricity cost and reducing peak load demand. Additionally, the integration of renewable energy sources such as solar power further enhances system efficiency and sustainability.
A real-time monitoring approach can be implemented using platforms like ThingSpeak to track energy consumption and performance. Simulation results demonstrate that the proposed optimization-based DSM system significantly reduces electricity cost and peak load while improving energy efficiency. Among the tested algorithms, BOSA shows superior performance in terms of robustness and cost minimization.
Overall, the proposed system contributes to the development of a reliable, cost-effective, and environmentally friendly smart grid.},
keywords = {Machine learning, Supervised Models, Metrices.},
month = {May},
}
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