Evolutionary Optimization in Smart Grids - Demand Response
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Keywords

Evolutionary Optimization
Smart Grids
Demand Response
Energy Consumption

How to Cite

[1]
Ji-won Park, “Evolutionary Optimization in Smart Grids - Demand Response”, Journal of AI in Healthcare and Medicine, vol. 3, no. 1, pp. 27–36, Apr. 2023, Accessed: Dec. 23, 2024. [Online]. Available: https://healthsciencepub.com/index.php/jaihm/article/view/10

Abstract

The integration of renewable energy sources and the increasing electrification of various sectors have led to significant challenges in the management of modern power grids. Smart grids, equipped with advanced technologies and communication systems, offer promising solutions to enhance grid efficiency and reliability. Among the key aspects of smart grid management, demand response plays a crucial role in balancing supply and demand by incentivizing consumers to adjust their electricity usage patterns.

This research paper investigates the application of evolutionary optimization techniques for demand response management in smart grids. The primary objective is to optimize energy consumption and reduce peak load demand, thereby enhancing grid stability and efficiency. The paper provides a comprehensive review of the existing literature on evolutionary optimization and its application in smart grids, focusing on demand response strategies.

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