Investigation of the Possibility of Applying Neural Networks for Selecting Methods of Remote Fault Location Based on Synchrophasor Measurements
Author:
Affiliation:
1. Ivanovo State Power Engineering University,Department of Electric Power Systems,Ivanovo,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10319809/10319815/10319867.pdf?arnumber=10319867
Reference17 articles.
1. Fault locator based on line current differential relays synchronized measurements
2. Flexible Synchronized Measurement Technology-Based Fault Locator
3. Detecting Fault Type and Fault Location in Power Transmission Lines by Extreme Learning Machines;emin;Mathematical Biosciences and Engineering,2021
4. Artificial intelligence techniques for ground fault line selection in power systems: State-of-the-art and research challenges
5. Development of a New Type Fault Locator Using the One-Terminal Voltage and Current Data
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