Fault Detection, Classification and Localization Along the Power Grid Line Using Optimized Machine Learning Algorithms

Fault Detection, Classification and Localization Along the Power Grid Line Using Optimized Machine Learning Algorithms

Abstract Distributed energy generation increases the need for smart grid monitoring, protection, and control. Localization, classification, and fault detection are essential for addressing any problems immediately and resuming the smart grid as soon as possible. Simultaneously, the capacity to swift...

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Bibliographic Details
Main Authors: Masoud Najafzadeh, Jaber Pouladi, Ali Daghigh, Jamal Beiza, Taher Abedinzade
Format: Article
Language:English
Published: Springer 2024-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Fault detection and classification
Smart network
Fault localization
Wild horse optimization algorithm
Fuzzy neural inference system
Decision tree algorithm
Online Access:https://doi.org/10.1007/s44196-024-00434-7

Internet

https://doi.org/10.1007/s44196-024-00434-7

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