a two-dimensional cloud model for condition assessment of hvdc converter transformers

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ID: 258011
2012
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Abstract
Converter transformers are the key and the most important components in high voltage direct current (HVDC) power transmission systems. Statistics show that the failure rate of HVDC converter transformers is approximately twice of that of transformers in AC power systems. This paper presents an approach integrated with a two-dimensional cloud model and an entropy-based weight model to evaluate the condition of HVDC converter transformers. The integrated approach can describe the complexity of HVDC converter transformers and achieve an effective assessment of their condition. Data from electrical testing, DGA, oil testing, and visual inspection were chosen to form the double-level assessment index system. Analysis results show that the integrated approach is capable of providing a relevant and effective assessment which in turn, provides valuable information for the maintenance of HVDC converter transformers.
Reference Key
zhao2012energiesa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Linjie Zhao;Jinzhuang Lv;Youyuan Wang;Jian Li;Zhiman He
Journal acs combinatorial science
Year 2012
DOI
10.3390/en5010157
URL
http://www.mdpi.com/1996-1073/5/1/157/
Keywords
cloud model energy-environmental efficiencytechnology

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