Next Article in Journal
Use of Anion Exchange Resins for One-Step Processing of Algae from Harvest to Biofuel
Previous Article in Journal
Nonintrusive Energy Monitoring for Microgrids Using Hybrid Self-Organizing Feature-Mapping Networks
Article Menu

Export Article

Open AccessArticle
Energies 2012, 5(7), 2594-2607; doi:10.3390/en5072594

Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current

1
State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Department of High Voltage and Insulation Engineering, College of Electrical Engineering, Chongqing University, Chongqing 400044, China
2
China South Grid Electric Power Research Institute, Guangzhou 510623, China
*
Author to whom correspondence should be addressed.
Received: 25 April 2012 / Revised: 25 June 2012 / Accepted: 12 July 2012 / Published: 20 July 2012
View Full-Text   |   Download PDF [374 KB, uploaded 17 March 2015]   |  

Abstract

In this paper, an artificial pollution test is carried out to study the leakage current of porcelain insulators. Fractal theory is adopted to extract the characteristics hidden in leakage current waveforms. Fractal dimensions of the leakage current for the security, forecast and danger zones are analyzed under four types of degrees of contamination. The mean value and the standard deviation of the fractal dimension in the forecast zone are calculated to characterize the differences. The analysis reveals large differences in the fractal dimension of leakage current under different contamination discharge stages and degrees. The experimental and calculation results suggest that the fractal dimension of a leakage current waveform can be used as a new indicator of the discharge process and contamination degree of insulators. The results provide new methods and valid indicators for forecasting contamination flashovers. View Full-Text
Keywords: insulator; leakage current; contamination degree; fractal theory; fractal dimension; contamination degree insulator; leakage current; contamination degree; fractal theory; fractal dimension; contamination degree
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chen, W.; Wang, W.; Xia, Q.; Luo, B.; Li, L. Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current. Energies 2012, 5, 2594-2607.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

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