High‐speed directional relaying using adaptive neuro‐fuzzy inference system and fundamental component of currents-Reference-Cited by-同舟云学术

High‐speed directional relaying using adaptive neuro‐fuzzy inference system and fundamental component of currents

Published:2015-09-15 Issue:6 Volume:10 Page:653-663
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Swetapadma Aleena¹,Yadav Anamika¹

Affiliation:

1. Department of Electrical Engineering National Institute of Technology Raipur 492010 Chhattisgarh India

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.22132

Reference17 articles.

1. JiandongD QinZ LinA.Directional relay based on traveling‐wave comparison using intrinsic mode function for EHV transmission lines.Critical Infrastructure (CRIS) 2010 5th International Conference on 2010;1–5.

2. Directional protective relaying based on amplitude comparison of traveling wave by using wavelet transform;Dong X;Automation of Electric Power Systems,2000

3. Directional protective relaying based on polarity comparison of traveling wave by using wavelet transform;Dong X;Automation of Electric Power Systems,2000

4. DuanJ‐D ZhangB‐H LuoS‐B ZhouY.Transient‐based ultra‐high‐speed directional protection using wavelet transforms for EHV transmission lines.IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific 2005;1–6.

5. Wavelet transform based digital protection for transmission lines

Cited by 7 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 single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system;Complex & Intelligent Systems;2020-02-14

2. Mamdani Fuzzy Expert System Based Directional Relaying Approach for Six-Phase Transmission Line;International Journal of Interactive Multimedia and Artificial Intelligence;2020

3. Pattern-recognition methods for decision-making in protection of transmission lines;Decision Making Applications in Modern Power Systems;2020

4. Fault Detection and Classification on Distribution Line with Penetration of DFIG-Driven Wind Farm Using Fuzzy System;Smart Computing and Informatics;2017-12-21

5. An Improved Method Using Artificial Neural Network for Fault Detection and Fault Pole Identification in Voltage Source Converter-Based High-Voltage Direct Current Transmission Lines;Arabian Journal for Science and Engineering;2017-08-09