Abstract
Electrical power systems frequently experience different kinds of faults while they are used on a daily basis. Therefore, it is crucial to classify faults according to their severity in order to keep the system operating reliably. In this study, a novel method for categorising the severity of faults in the stability of the power system into three cases namely Minor, Moderate, and Major Fault was presented. This method is based on cutting-edge artificial intelligence algorithms. Under different types of faults, the suggested methodology was used in IEEE 9-bus. The study's findings give network operators important information that they can use to spot electrical system weaknesses during serious faults and maintain the power system's dependability and continuity of energy flow.
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