ARTIFICIAL INTELLIGENCE IN THE POWER SECTOR: A GAME- CHANGING REVIEW OF AI TECHNIQUES FOR TRANSFORMING DUMP GRIDS INTO SMART POWER GRIDS
Keywords:
Artificial Intelligence (AI), Smart Grid (SG), Microgrid (MG), Machine Learning, Deep Learning (DL), Distribution Network (DN), Power System (PS)Abstract
The current electric power system is undergoing a substantial transformation towards the adoption of Smart Grids (SGs), which are viewed as a potential approach to improve grid stability and optimize management of energy. The current state of transition is characterized by dynamic and swift alterations, necessitating the utilization of numerous sophisticated approaches to effectively analyze the substantial volume of data produced by diverse entities. In this particular context, SG is closely associated with AI as an emerging technology that aim to establish a decentralized and intelligent energy paradigm. This study provides a groundbreaking assessment of a variety of artificial intelligence strategies that are turning outdated "dump" networks into intelligent, self-healing smart grids. This article also provides a comprehensive introduction to AI techniques and methods, followed by a detailed examination of how they are applied in the context of SG and microgrid (MG) systems. This analysis is conducted through a comprehensive examination of more than 90 recent scholarly articles. The primary aim of this analysis is to advocate collaboration between researchers and decision-makers in order to accelerate the actual implementation of strategies for Smart Grid systems.
