Research on state evaluation and risk assessment for relay protection system based on machine learning algorithm-Reference-Cited by-同舟云学术

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Research on state evaluation and risk assessment for relay protection system based on machine learning algorithm

Published:2020-08-04 Issue:18 Volume:14 Page:3619-3629
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Ying Liming¹,Jia Yongtian¹,Li Wenan¹

Affiliation:

1. School of Electrical Engineering and AutomationWuhan UniversityWuhan430072People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.6552

Reference27 articles.

1. A Practical Approach for Integrated Power System Vulnerability Analysis With Protection Failures

2. Optimal overcurrent relay coordination in interconnected networks by using fuzzy‐based GA method;Alkaran D.S.;IEEE Trans. Smart Grid,2018

3. Synchronous distributed generation islanding protection using intelligent relays;Far H.G.;IEEE Trans. Smart Grid,2012

4. Dependability Evaluation with Dynamic Reliability Block Diagrams and Dynamic Fault Trees

5. Reliability analysis of wide‐area measurement system;Wang Y.;IEEE Trans. Power Deliv.,2010

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