International Journal For Multidisciplinary Research

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Opportunities and Challenges in AI Based Modern Power System

Author(s) AAKANSHA GOYAL, Mr. S.N JOSHI
Country India
Abstract Nowadays, the power grid has transformed into a dynamic and extensive resource generation and management system. This transformation is primarily driven by the widespread adoption of renewable energy sources and the utilization of intelligent information and communication technologies to handle dynamic workloads. The smart grid encompasses various innovative operations, including power electrification, intelligent information integration at the physical layer, and intricate interconnections. These operations leverage data-driven deep learning, big data, and machine learning paradigms to effectively analyze and control transient issues within the electric power system. Artificial intelligence (AI) has emerged as a crucial tool in addressing and resolving challenges associated with transient stability assessment (TSA) and power
generation control. In this research paper, we present a comprehensive review that explores the role of AI and its sub-procedures in tackling TSA problems. The article outlines an AI-based intelligent power system structure, along with the rationality of applying AI to transient situations in power system TSA. Distinguishing itself from other reviews, this paper delves into the AI-based
TSA framework and design process, highlighting intelligent applications and their analytical capabilities in addressing power system transient problems. Furthermore, our analysis extends beyond AI alone, as we also explore the integration of big data, which aligns seamlessly with AI. The paper discusses future trends, opportunities, challenges, and open issues pertaining to AI-Big
data based transient stability assessment in the smart power grid.
Keywords Artificial intelligence, power system
Field Engineering
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-09
Cite This Opportunities and Challenges in AI Based Modern Power System - AAKANSHA GOYAL, Mr. S.N JOSHI - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14728
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14728
Short DOI https://doi.org/gtmbfn
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