A Smart Algorithm for the Diagnosis of Short-Circuit Faults in a Photovoltaic Generator

被引：0

作者：

Rezgui, Wail ^{[1
]}

Mouss, Leila-Hayet ^{[1
]}

Mouss, Nadia Kinza ^{[1
]}

Mouss, Mohamed Djamel ^{[1
]}

Benbouzid, Mohamed ^{[2
]}

机构：

[1] Univ Batna, LAP Lab, Batna, Algeria

[2] Univ Brest, EA LBMS 4325, Brest, France

来源：

2014 INTERNATIONAL CONFERENCE ON GREEN ENERGY | 2014年

关键词：

Photovoltaic generator; SVM; k-NN; short-circuit fault; smart classification; linear programming; PROGNOSIS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：139 / 143

页数：5

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