Fault diagnosis of photovoltaic modules using AC impedance spectroscopy

Availability of photovoltaic module fault diagnosis using AC impedance spectroscopy were investigated. Recently, there have been many reports about degradation and failure which occur to polycrystalline silicon photovoltaic modules. Because of these reasons, various diagnosis tools for photovoltaic modules have been invented and introduced; however, the fault mode is hard to determine. Thus, we have been proposing the application of AC impedance spectroscopy, which is widely used to evaluate electrochemical devices, as a diagnosis tool for photovoltaic modules. In this study, we conducted crack test and interconnect ribbon disconnection test to obtain and compare impedance characteristics and I-V characteristics. Equivalent circuit parameters calculated from Nyquist plots as impedance characteristics yielded information to differentiate the fault mode of photovoltaic modules; cracks on photovoltaic modules decrease the parallel resistance and increase the parallel capacitance; interconnect ribbon disconnection increases the series resistance and decreases the parallel resistance. We concluded that AC impedance spectroscopy can detect failures themselves and probably differentiate failure types of photovoltaic modules that cannot be distinguished using I-V characteristics.

[1]  A. Fezzani,et al.  MATLAB-based modeling of shading effects in photovoltaic arrays , 2014, 2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).

[2]  Abdessamad Kobi,et al.  Degradations of silicon photovoltaic modules: A literature review , 2013 .

[3]  Ndy Ekere,et al.  A review of interconnection technologies for improved crystalline silicon solar cell photovoltaic module assembly , 2015 .

[4]  Jay Johnson,et al.  PV ground-fault detection using spread spectrum time domain reflectometry (SSTDR) , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[5]  Juan Bisquert,et al.  Impedance spectroscopy characterisation of highly efficient silicon solar cells under different light illumination intensities , 2009 .

[6]  T. Fuyuki,et al.  Photographic diagnosis of crystalline silicon solar cells utilizing electroluminescence , 2009 .

[7]  Masayuki Itagaki,et al.  Investigation of Sputtering Damage around pn Interfaces of Cu(In,Ga)Se2 Solar Cells by Impedance Spectroscopy , 2014 .

[8]  T. Osaka,et al.  Impedance analysis of the effect of flooding in the cathode catalyst layer of the polymer electrolyte fuel cell , 2013 .

[9]  Masayuki Itagaki,et al.  Application of impedance spectroscopy to investigate the electrical properties around the pn interface of Cu(In,Ga)Se2 solar cells , 2013 .

[10]  M. Kumar,et al.  Investigating the charge transport kinetics in poly-crystalline silicon solar cells for low-concentration illumination by impedance spectroscopy , 2015 .

[11]  M. Itagaki,et al.  Estimation of defect activation energy around pn interfaces of Cu(In,Ga)Se2 solar cells using impedance spectroscopy , 2015 .

[12]  David Hinken,et al.  Series resistance imaging of solar cells by voltage dependent electroluminescence , 2007 .

[13]  M. Köntges,et al.  The risk of power loss in crystalline silicon based photovoltaic modules due to micro-cracks , 2011 .

[14]  Haifeng Dai,et al.  A new lithium-ion battery internal temperature on-line estimate method based on electrochemical impedance spectroscopy measurement , 2015 .