Proposal of novel degradation diagnosis method for photovoltaic module employing xenon flash lighting system and detector capacitor

Abstract This paper proposes a novel and unique degradation diagnosis method for photovoltaic modules employing a xenon flash lighting system and a capacitor for degradation detection connected to the module output. The xenon flash lighting system is not only compact and lightweight but also small in power consumption and can be lit by batteries. Therefore, the portability of the lighting system is satisfactory, and the proposed diagnosis method is expected to be relatively easily applicable to outdoor photovoltaic power plants. In addition, since the lighting system can provide artificial and precisely controlled intense flash light to the module and this proposed method includes a sensing process of the module temperature, this proposed method can, in principle, evaluate the internal series resistance and determine accurate degradation level independent of the weather and temperature conditions. The authors carried out the numerical simulations and successfully made clear that the theoretically unavoidable measurement error of the internal series resistance is only 2% less than its variation width, confirming the validity of the basic ideas of the proposed degradation diagnosis method. The authors then performed the demonstration test experiments using a prototype experimental apparatus and investigated its practicability for real PV modules, successfully confirming that the same accuracy as expected through the simulations can be achieved also through the experiments.

[1]  Cheng-Ying Chou,et al.  On enhancing energy harvesting performance of the photovoltaic modules using an automatic cooling system and assessing its economic benefits of mitigating greenhouse effects on the environment , 2018 .

[2]  Waheed A. Badawy,et al.  A review on solar cells from Si-single crystals to porous materials and quantum dots , 2013, Journal of advanced research.

[3]  Archana Sinha,et al.  Nondestructive characterization of encapsulant discoloration effects in crystalline-silicon PV modules , 2016 .

[4]  N. Rajasekar,et al.  Modeling, analysis and design of efficient maximum power extraction method for solar PV system , 2016 .

[5]  Sofiane Kichou,et al.  Remote supervision and fault detection on OPC monitored PV systems , 2016 .

[6]  Eduardo Lorenzo,et al.  Experimental observations on hot-spots and derived acceptance/rejection criteria , 2015 .

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

[8]  Panajotis Agathoklis,et al.  PV array power output maximization under partial shading using new shifted PV array arrangements , 2017 .

[9]  Sayyad Nojavan,et al.  Performance improvement of a battery/PV/fuel cell/grid hybrid energy system considering load uncertainty modeling using IGDT , 2017 .

[10]  P. Sánchez‐Friera,et al.  Analysis of degradation mechanisms of crystalline silicon PV modules after 12 years of operation in Southern Europe , 2011 .

[11]  Nabil Kahoul,et al.  Assessing the early degradation of photovoltaic modules performance in the Saharan region , 2014 .

[12]  A. Krenzinger,et al.  Assessment of PV modules shunt resistance dependence on solar irradiance , 2016 .

[13]  Firas Obeidat,et al.  A comprehensive review of future photovoltaic systems , 2018 .

[14]  Luis Marroyo,et al.  An investigation into hot‐spots in two large grid‐connected PV plants , 2008 .

[15]  Chao Huang,et al.  Simulation study on the degradation process of photovoltaic modules , 2018, Energy Conversion and Management.

[16]  Muhammad Amjad,et al.  A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm , 2012 .

[17]  Philip Jennings,et al.  Detectable faults on recently installed solar modules in Western Australia , 2014 .

[18]  M. Paggi,et al.  Fatigue crack growth in Silicon solar cells and hysteretic behaviour of busbars , 2018, Solar Energy Materials and Solar Cells.

[19]  Ali Naci Celik,et al.  Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models , 2007 .

[20]  Young-Seok Jung,et al.  Electric and thermal characteristics of photovoltaic modules under partial shading and with a damaged bypass diode , 2017 .

[21]  E. Płaczek-Popko,et al.  Top PV market solar cells 2016 , 2017 .

[22]  Chee Wei Tan,et al.  Feasibility analysis of hybrid photovoltaic/battery/fuel cell energy system for an indigenous residence in East Malaysia , 2017 .

[23]  Tadashi Tanaka,et al.  Influence of degradation in units of PV modules on electric power output of PV system , 2018 .

[24]  M. Dhimish,et al.  The impact of cracks on photovoltaic power performance , 2017 .

[25]  Takashi Minemoto,et al.  Ten years outdoor operation of silicon based photovoltaic modules at central latitude of Japan , 2012 .

[26]  Hui Shen,et al.  Degradation analysis of crystalline silicon photovoltaic modules exposed over 30 years in hot-humid climate in China , 2018, Solar Energy.

[27]  Parimita Mohanty,et al.  MATLAB based modeling to study the performance of different MPPT techniques used for solar PV system under various operating conditions , 2014 .

[28]  J. V. Muñoz,et al.  Analysis of the dependence of the spectral factor of some PV technologies on the solar spectrum distribution , 2014 .

[29]  F. Chenlo,et al.  Early degradation of silicon PV modules and guaranty conditions , 2011 .

[30]  N. Rajasekar,et al.  A new robust, mutated and fast tracking LPSO method for solar PV maximum power point tracking under partial shaded conditions , 2017 .

[31]  Jun-Young Park,et al.  A novel datasheet-based parameter extraction method for a single-diode photovoltaic array model , 2015 .

[32]  J. Cidras,et al.  Discretized model for partially shaded PV arrays composed of PV panels with overlapping bypass diodes , 2017 .

[33]  Shafiqur Rehman,et al.  Performance evaluation of a PV (photovoltaic) module by back surface water cooling for hot climatic conditions , 2013 .

[34]  Nader Anani,et al.  Variations of PV module parameters with irradiance and temperature , 2017, Energy Procedia.

[35]  George Makrides,et al.  Review of photovoltaic degradation rate methodologies , 2014 .

[36]  Giorgio Sulligoi,et al.  A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks , 2016 .