Applications of Artificial Intelligence and Machine Learning in Power System Operation and Control: A Comprehensive Review

Ganesh Shingade

doi:10.52783/cana.v32.4442

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Published: Mar 25, 2025

DOI: https://doi.org/10.52783/cana.v32.4442

Keywords:

Artificial Intelligence (AI), Machine Learning (ML), Power System Operation, Renewable Energy Integration, Optimal Power Flow (OPF), Fault Detection and Diagnosis.

Ganesh Shingade, Nirali Vipulkumar Upadhyay, Hemang Suryakant Pandya, Kaushal K. Bhatt, Pratima Sukre, Vishal V. Ghatge

Abstract

The fields of artificial intelligence (AI) and machine learning (ML) have the potential to completely change a number of industries, including the operation and control of power systems. A detailed overview of the use of AI and ML approaches in power system operation and control is given in this review paper. Numerous subjects are covered, such as defect detection, voltage control, optimal power flow, renewable energy integration, predictive maintenance, and grid stability enhancement. In order to offer insights into the changing environment of smart grid technologies, problems, opportunities, and future directions in harnessing AI and ML for power system management are also covered.

Issue

Vol. 32 No. 9s (2025)

Section

Articles

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