Intelligent Demand Response Strategies for Peak Load Shaving in Smart Grids - A Review
Volume: 13 - Issue: 05 - Date: 01-05-2024
Approved ISSN: 2278-1412
Published Id: IJAECESTU404 | Page No.: 130-133
Author: Devesh Srivastava
Co- Author: Prof. Ashish Bhargava
Abstract:-This review paper explores the landscape of intelligent demand response strategies tailored
for peak load shaving within the context of smart grids. As the complexity and interconnectedness of
modern power systems continue to grow, the need for effective demand-side management becomes
imperative. The paper provides a comprehensive analysis of existing literature, synthesizing insights into
diverse intelligent demand response approaches employed to alleviate peak loads in smart grid
environments.
The review categorizes and evaluates various demand response strategies, encompassing both
conventional and emerging technologies, with a specific focus on their intelligence and adaptability.
Intelligent demand response mechanisms leverage advanced technologies, such as machine learning
algorithms, data analytics, and predictive modeling, to dynamically optimize energy consumption
patterns and reduce peak loads during periods of high demand.
Key themes addressed in this review include the integration of smart meters, advanced communication
infrastructures, and real-time monitoring systems to facilitate the seamless implementation of intelligent
demand response strategies. The effectiveness of these strategies is assessed in terms of their impact on
grid reliability, energy efficiency, and overall system resilience.
Key Words:-Smart Grids, Peak Load Shaving, Intelligent Demand Response, Energy Management, Sustainability, Grid Resilience, Smart Meters, Machine Learning, Predictive Modeling
Area:-Engineering
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