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IEEE Transactions on Magnetics
Article . 2012 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Analysis of Transient Electric Field and Charge Density of Converter Transformer Under Polarity Reversal Voltage

Authors: Jinzhong Li; Gang Liu; Youliang Sun; Feng Ji; Wenping Li; Lin Li; Bo Li;
Abstract
A finite element method, which directly uses the node electric scalar potentials and node charge densities as variables, is used to predict the electric field and charge density distributions under polarity reversal (PR) voltage. The penalty method is adopted to impose the Dirichlet boundary values and the Crank-Nicolson (C-N) algorithm is then used to solve the transient equation. The surface node charge densities on the perfectly conducting boundaries are adopted to accurately obtain the normal electric field strengths. The method is tested by a two layer coaxial model and applied to analyze the linear and nonlinear transient electric fields and boundary charge densities of a ±500 kV converter transformer under PR voltage.
Related Organizations
- North China Electric Power University China (People's Republic of)
- North China Electric Power University China (People's Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
20
Top 10%
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Top 10%
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Energy Research