Detection of Power Swing and Fault During Power Swing Using Lissajous Figure
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/61/8540965/08398445.pdf?arnumber=8398445
Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A novel setting free approach to differentiate fault and power swing using support vector machine;Electrical Engineering;2024-07-26
2. A novel estimation of phase angle and amplitude errors under dynamic scenarios by Lissajous Patterns;2024 6th International Conference on Energy, Power and Environment (ICEPE);2024-06-20
3. AI-Driven Electrostatic Modeling for Improved Electronic Reliability: Case of Electrical Substations of Kyrgyzstan;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29
4. Fault Section Recognition within Duration of Power Swing Using Teager–Kaiser Energy Operator and Sequence Components;Electric Power Components and Systems;2023-11-02
5. Improving power swing detection in the presence of doubly-fed induction generator wind farms based on setting adaptation;Electric Power Systems Research;2023-11
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