Methodologies of Artificial Intelligence in Power System


  • Seemant Tiwari Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan


Technology of Power Systems, ANN, Fuzzy Logic, AI


Much of the emphasis in energy systems assessment has shifted away from previous mathematical modeling, which originated in the areas of operations research, control theory, as well as numerical methods, and toward the less stringent approaches of artificial intelligence (AI) from the probably early 1980s. Frameworks, fuzzy sets, artificial neural networks (ANN), as well as, most lately, adaptive computation are the most common AI methods used in energy systems application areas. Such methodologies, as well as the energy application programs, will be discussed in this study. The goal of this study is to showcase some primary artificial intelligence technology utilized in power systems, wherein previous techniques will be unable to keep up with all functioning and routing conditions. By managing voltages, consistency, current flows, and load frequency, such strategies improve the energy service's performance and efficiency. AI technology to be used in power system operation, supervision, and management. Furthermore, the article will focus discuss the long-term benefits of using AI in power systems.


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