A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator

Author

Rezgui, Wail ; Mouss, Leila-Hayet ; Mouss, Nadia Kinza ; Mouss, Mohamed Djamel ; Benbouzid, Mohamed

Author_Institution

LAP-Lab. Batna, Univ. of Batna, Batna, Algeria

fYear

2014

fDate

25-27 March 2014

Firstpage

139

Lastpage

143

Abstract

This paper deals with a smart algorithm allowing short-circuit faults detection and diagnosis of PV generators. The proposed algorithm is based on the hybridization of a support vector machines (SVM) technique optimized by a k-NN tool for the classification of observations on the classifier itself or located in its margin. To test the proposed algorithm performance, a PV generator database containing observations distributed over classes is used for simulation purposes.

Keywords

fault diagnosis; optimisation; photovoltaic power systems; power engineering computing; power system faults; support vector machines; PV generator database; SVM technique; k-NN tool; photovoltaic generator; short-circuit faults detection; smart algorithm; support vector machines; Circuit faults; Classification algorithms; Error analysis; Generators; Photovoltaic systems; Support vector machines; Photovoltaic generator; SVM; k-NN; linear programming; short-circuit fault; smart classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Energy, 2014 International Conference on

Conference_Location

Sfax

Print_ISBN

978-1-4799-3601-4

Type

conf

DOI

10.1109/ICGE.2014.6835412

Filename

6835412