Fault detection method for grid-connected photovoltaic plants

被引：133

作者：

Chine, W. ^{[1
]}

Mellit, A. ^{[1
,2
]}

Pavan, A. Massi ^{[3
]}

Kalogirou, S. A. ^{[4
]}

机构：

[1] Jijel Univ, Renewable Energy Lab, Fac Sci & Technol, Jijel 18000, Algeria

[2] Unite Dev Equipements Solaires USES EPST CDER, Bousmail 42000, Tipaza, Algeria

[3] Univ Trieste, Dept Engn & Architecture, I-34127 Trieste, Italy

[4] Cyprus Univ Technol, Dept Mech Engn & Mat Sci & Engn, CY-3603 Limassol, Cyprus

来源：

RENEWABLE ENERGY | 2014年 / 66卷

关键词：

GCPV plant; Power loss; Fault detection; Diagnostic; SYSTEMS; INTEGRATION;

D O I：

10.1016/j.renene.2013.11.073

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this work, an automatic fault detection method for grid-connected photovoltaic (GCPV) plants is presented. The proposed method generates a diagnostic signal which indicates possible faults occurring in the GCPV plant. In order to determine the location of the fault, the ratio between DC and AC power is monitored. The software tool developed identifies different types of faults like: fault in a photovoltaic module, fault in a photovoltaic string, fault in an inverter, and a general fault that may include partial shading, PV ageing, or MPPT error. In addition to the diagnostic signal, other essential information about the system can be displayed each 10 min on the designed tool. The method has been validated using an experimental database of climatic and electrical parameters regarding a 20 kWp GCPV plant installed on the rooftop of the municipality of Trieste, Italy. The obtained results indicate that the proposed method can detect and locate correctly different type of faults in both DC and AC sides of the GCPV plant. The developed software can help users to check possible faults on their systems in real time. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：99 / 110

页数：12

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