Next Article in Journal
Steady State Assessment of Shunt Compensated EHV Insulated Cables by Means of Multiconductor Cell Analysis (MCA)
Previous Article in Journal
Standardization Work for BEV and HEV Applications: Critical Appraisal of Recent Traction Battery Documents
Article Menu

Export Article

Open AccessArticle
Energies 2012, 5(1), 157-167;

A Two-Dimensional Cloud Model for Condition Assessment of HVDC Converter Transformers

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400030, China
HVDC Technology Research Department, Electric Power Research Institute, China Southern Power Grid, Guangzhou 510623, China
Author to whom correspondence should be addressed.
Received: 18 November 2011 / Revised: 17 January 2012 / Accepted: 17 January 2012 / Published: 23 January 2012
Full-Text   |   PDF [796 KB, uploaded 17 March 2015]   |  


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. View Full-Text
Keywords: HVDC converter transformer; condition assessment; cloud model; entropy weight HVDC converter transformer; condition assessment; cloud model; entropy weight

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Li, J.; He, Z.; Wang, Y.; Lv, J.; Zhao, L. A Two-Dimensional Cloud Model for Condition Assessment of HVDC Converter Transformers. Energies 2012, 5, 157-167.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top