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Application of AI in Smart Grid Under Electricity Deregulation

Application of AI in Smart Grid Under Electricity Deregulation
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Author(s): Sanjay B. Warkad (Department of Electrical Engineering, P.R. Pote Patil College of Engineering and Management, Amravati, India), Sachin A. Jalit (Department of Electrical Engineering, P.R. Pote Patil College of Engineering and Management, Amravati, India)and Hemant S. Kulat (Department of Electrical Engineering, P.R. Pote Patil College of Engineering and Management, Amravati, India)
Copyright: 2025
Pages: 22
Source title: Integrating Artificial Intelligence Into the Energy Sector
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3693-7112-1.ch013

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Abstract

The integration of advanced metering infrastructure, control, and communication technologies in smart grids enables the collection of large amounts of multi-type, high-dimensional data on electric power grid operations. However, standard modelling, optimization, and control technologies face limitations in processing this data. This article addresses the growing application of artificial intelligence (AI) in smart grids. The motivation stems from the need to enhance the efficiency, reliability, and economic performance of smart grids in a deregulated market. conventional technologies faced challenges in handling complex data. The AI methods overcome these challenges. Results indicate improvements in predictive maintenance, demand forecasting, load balancing, and energy trading. AI's superior performance in enhancing grid stability and market efficiency. The study concludes the transformative potential of AI in creating a more reliable, efficient, and economically viable energy infrastructure.

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