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Title: Fault identification in crystalline silicon PV modules by complementary analysis of the light and dark current–voltage characteristics

Journal Article · · Progress in Photovoltaics
DOI:https://doi.org/10.1002/pip.2571· OSTI ID:1401369
ORCiD logo [1];  [1];  [2];  [1];  [1]
  1. Aalborg University Energy Technology Pontoppidanstræde 101 Aalborg 9220 Denmark
  2. National Renewable Energy Laboratory (NREL) 15013 Denver W Pkwy Golden CO 80401 United States

Abstract This article proposes a fault identification method, based on the complementary analysis of the light and dark current–voltage (I–V) characteristics of the photovoltaic (PV) module, to distinguish between four important degradation modes that lead to power loss in PV modules: (i) degradation of the electrical circuit of the PV module (cell interconnect breaks; corrosion of the junction box, module cables, and connectors); (ii) mechanical damage to the solar cells (cell microcracks and fractures); (iii) potential‐induced degradation (PID) sustained by the module; and (iv) optical losses affecting the module (soiling, shading, and discoloration). The premise of the proposed method is that different degradation modes affect the light and dark I–V characteristics of the PV module in different ways, leaving distinct signatures . This work focuses on identifying and correlating these specific signatures present in the light and dark I–V measurements to specific degradation modes; a number of new dark I–V diagnostic parameters are proposed to quantify these signatures. The experimental results show that these dark I–V diagnostic parameters, complemented by light I–V performance and series‐resistance measurements, can accurately detect and identify the four degradation modes discussed. Copyright © 2015 John Wiley & Sons, Ltd.

Sponsoring Organization:
USDOE
OSTI ID:
1401369
Journal Information:
Progress in Photovoltaics, Journal Name: Progress in Photovoltaics Vol. 24 Journal Issue: 4; ISSN 1062-7995
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United Kingdom
Language:
English
Citation Metrics:
Cited by: 21 works
Citation information provided by
Web of Science

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