High Impedance Fault Detection in Distribution Network Using Knowledge Reasoning and ANFIS-Reference-Cited by-同舟云学术

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High Impedance Fault Detection in Distribution Network Using Knowledge Reasoning and ANFIS

Published:2024-05-10 Issue: Volume: Page:199-204
ISSN:
Container-title:2024 IEEE 7th International Electrical and Energy Conference (CIEEC)
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Author:

Penghui Yang¹,Hao Bai²,Chunli Zhang³,Hongwen Liu⁴,Jinqiu Li¹,Jindong Yang⁴

Affiliation:

1. Pu'er Power Supply Bureau, Yunnan Power Grid,Pu'er,China

2. Electric Power Research Institute, China Southern Power Grid,Guangzhou,China

3. Yunnan Electric Power Technology Co., Ltd,Kunming,China

4. Electric Power Research Institute, Yunnan Power Grid,Kunming,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582916/10582978/10583198.pdf?arnumber=10583198

Reference15 articles.

1. An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm

2. AI in arcing‐HIF detection: a brief review

3. Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve;Hao;IEEE Sensors Journal,2023

4. High impedance fault localization: A comprehensive review

5. High Impedance Fault Location Methods: Review and Harmonic Selection-Based Analysis

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