Non‐linear characteristic quantity extraction of ferroresonance overvoltage time series-Reference-Cited by-同舟云学术

Non‐linear characteristic quantity extraction of ferroresonance overvoltage time series

Published:2017-03-22 Issue:6 Volume:11 Page:1427-1433
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Yang Ming¹²,Sima Wenxia²,Yang Qing²,Li Jianbiao³,Zou Mi²,Duan Qichang¹

Affiliation:

1. College of AutomationChongqing UniversityChongqing400044People's Republic of China

2. State Key Laboratory of Power Transmission Equipment and System Security and New TechnologyChongqing UniversityChongqing400044People's Republic of China

3. Zhuhai Power Supply BureauChina Southern Power GridZhuhai519000People's Republic of China

Funder

China Southern Power Grid

Fundamental Research Funds for the Central Universities

National Natural Science Foundation 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.2016.0873

Reference36 articles.

1. Characterization of ferroresonant modes in HV substation with CB grading capacitors;Val Escudero M.;Electr. Power Syst. Res.,2007

2. Initiation of characteristic ferroresonance states based on flux reflection model;Milicevic K.;IEEE Trans. Circuits Syst. II Express Briefs,2013

3. Modeling and analysis guidelines for slow transients. III. The study of ferroresonance

4. Ferroresonance suppression in power transformers using chaos theory;Radmanesh H.;Int. J. Electr. Power Energy Syst.,2013

5. Novel analytical solution to fundamental ferroresonance–Part II: criterion and elimination;Li Y.;IEEE Trans. Power Deliv.,2006

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