Fault detection, classification, and location for active distribution network based on neural network and phase angle analysis-Reference-Cited by-同舟云学术

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Fault detection, classification, and location for active distribution network based on neural network and phase angle analysis

Published:2018-07-04 Issue:5 Volume:41 Page:375-386
ISSN:0253-3839
Container-title:Journal of the Chinese Institute of Engineers
language:en
Short-container-title:Journal of the Chinese Institute of Engineers

Author:

Zhang Tong¹,Liu Jianchang¹,Sun Lanxiang²³⁴,Yu Haibin²³⁴,Zhang Yingwei¹

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China

3. Key Laboratory of Networked Control System, CAS, Shenyang, China

4. University of Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

National High Technology Research and Development Program of China

IAPI Fundamental Research Funds

Publisher

Informa UK Limited

Subject

General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02533839.2018.1490204

Reference26 articles.

1. Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique

2. Extended synchrophasor-based online voltage stability assessment using synchronous generator-derived indices

3. Distribution network fault section identification and fault location using wavelet entropy and neural networks

4. ASEAN power grid: A secure transmission infrastructure for clean and sustainable energy for South-East Asia

5. Fault-Location Scheme for Power Distribution System with Distributed Generation

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. A robust fault location method for active distribution network based on self-adaptive switching function;International Journal of Electrical Power & Energy Systems;2023-06

2. An Identification Method for Anomaly Types of Active Distribution Network Based on Data Mining;IEEE Transactions on Power Systems;2023

3. A Bayesian Fault Diagnosis Method Incorporating Background Knowledge of Abnormality Signs;2020 Chinese Automation Congress (CAC);2020-11-06

4. Research on Active Distribution Network Monitoring and Police Method of Substation Based on Fault Tree;Journal of Physics: Conference Series;2019-11-01

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