Data-Based Line Trip Fault Prediction in Power Systems Using LSTM Networks and SVM

Data-Based Line Trip Fault Prediction in Power Systems Using LSTM Networks and SVM

Power system faults are significant problems in power transmission and distribution. Methods based on relay protection actions and electrical component actions have been put forward in recent years. However, they have deficiencies dealing with power system fault. In this paper, a method for data-bas...

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Bibliographic Details
Main Authors: Senlin Zhang, Yixing Wang, Meiqin Liu, Zhejing Bao
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Data mining
power system faults
recurrent neural networks
support vector machines
Online Access:https://ieeexplore.ieee.org/document/8233109/

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