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International Journal of Photoenergy
Volume 2012, Article ID 892690, 10 pages
http://dx.doi.org/10.1155/2012/892690
Research Article

Two-Stage Fault Diagnosis Method Based on the Extension Theory for PV Power Systems

Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41110, Taiwan

Received 28 March 2012; Accepted 19 April 2012

Academic Editor: Vincenzo Augugliaro

Copyright © 2012 Meng-Hui Wang and Mu-Jia Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Oussama Hachana, Kamel Eddine Hemsas, and Giuseppe Marco Tina, “Fault diagnosis of building integrated PV generator: A metaheuristic technique,” IREC2015 The Sixth International Renewable Energy Congress, pp. 1–6, . View at Publisher · View at Google Scholar
  • Nuri Gokmen, Santiago Silvestre, Pablo Ortega, Engin Karatepe, and Berk Celik, “An efficient fault diagnosis method for PV systems based on operating voltage-window,” Energy Conversion And Management, vol. 73, pp. 350–360, 2013. View at Publisher · View at Google Scholar
  • Chao-Lin Kuo, Chih-Cheng Kao, Chia-Hung Lin, Jian-Liung Chen, Shi-Jaw Chen, and Her-Terng Yau, “Photovoltaic energy conversion system fault detection using fractional-order color relation classifier in microdistribution systems,” IEEE Transactions on Smart Grid, vol. PP, no. 99, 2015. View at Publisher · View at Google Scholar
  • Meng-Hui Wang, and Pi-Chu Wu, “Novel fault diagnosis method based on chaos eyes and extension neural network for wind power systems,” Journal of Marine Science and Technology (Taiwan), vol. 24, no. 4, pp. 717–723, 2016. View at Publisher · View at Google Scholar
  • Jian-Liung Chen, Chao-Lin Kuo, Shi-Jaw Chen, Chih-Cheng Kao, Tung-Sheng Zhan, Chia-Hung Lin, and Ying-Shin Chen, “DC-side fault detection for photovoltaic energy conversion system using fractionalorder dynamic-error-based fuzzy Petri net integrated with intelligent meters,” IET Renewable Power Generation, vol. 10, no. 9, pp. 1318–1327, 2016. View at Publisher · View at Google Scholar
  • Asma Triki-Lahiani, Afef Bennani-Ben Abdelghani, and Ilhem Slama-Belkhodja, “Fault detection and monitoring systems for photovoltaic installations: A review,” Renewable and Sustainable Energy Reviews, 2017. View at Publisher · View at Google Scholar