Comparative Study of Algorithms for Fast Identification of Power Frequency Short-circuit Current in Short Data Window-Reference-Cited by-同舟云学术

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Comparative Study of Algorithms for Fast Identification of Power Frequency Short-circuit Current in Short Data Window

Published:2019-10-21 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP)
language:
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Author:

Ai Shaogui,Zhang Hanhua,Huang Yongning,Xie Fan,Liu Tengfei,Hao Zhiguo

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9220006/9224631/09224799.pdf?arnumber=9224799

Cited by 4 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. Grounding Fault Line Selection in the Distribution Network Using a Novel Underdetermined Blind Source Separation Algorithm;2023 5th International Conference on Electrical Engineering and Control Technologies (CEECT);2023-12-15

2. Fault Line Selection Method for Resonant Grounding System Based on Generalized Correlation Coefficient and Energy Measure;2023 International Conference on Power System Technology (PowerCon);2023-09-21

3. Power Balance Warning Method of Regional Power Grid Considering Photovoltaic Capacity Ratio;2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC);2023-09-15

4. Application of the Refined Combined Equivalent Circuit for Modeling Double-Circuit Power Lines in the Problem of Remote Fault Location;2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2023-05-15

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