Optimization of both the energetic efficiency and the duration of life of PV arrays by means of the dynamical reconfiguration of PV modules connections

In mismatching operating conditions (due to clouds, shadows, soiling from dust, debris, manufacturing tolerances, non-uniform aging, different orientation of parts of the PV field, etc.) the energetic efficiency and the reliability of the Photovoltaic (PV) systems are strongly compromised. A possible solution adopt to mitigate the negative effects of the occurrence of mismatching conditions is represented by the dynamical reconfiguration of PV modules in the PV field. The goal of this paper is to demonstrate that, by using the dynamical reconfiguration of PV modules, it is possible to find a configuration which represent a suitable compromise between efficiency and reliability. Further work is needed and is in progress in order to design suitable re-configuration algorithms able to identify such compromise configurations.

[1]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[2]  Eduardo Lorenzo,et al.  Observed degradation in photovoltaic plants affected by hot‐spots , 2014 .

[3]  E. Kaplani.  Detection of Degradation Effects in Field-Aged c-Si Solar Cells through IR Thermography and Digital Image Processing , 2012 .

[4]  Eugenio Faldella,et al.  Architectural and design issues on optimal management of photovoltaic pumping systems , 1991 .

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

[6]  Peter R. Wilson,et al.  The Optimized-String Dynamic Photovoltaic Array , 2014, IEEE Transactions on Power Electronics.

[7]  Mahmoud Alahmad,et al.  An adaptive utility interactive photovoltaic system based on a flexible switch matrix to optimize performance in real-time , 2012 .

[8]  Eleonora Riva Sanseverino,et al.  Optimization of photovoltaic energy production through an efficient switching matrix , 2013 .

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

[10]  Eleonora Riva Sanseverino,et al.  Reconfigurable electrical interconnection strategies for photovoltaic arrays: A review , 2014 .

[11]  E. Kaplani.  Degradation effects in sc-Si PV modules subjected to natural and induced ageing after several years of field operation , 2012 .

[12]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[13]  F. J. Pern,et al.  Ethylene‐vinyl acetate (EVA) encapsulants for photovoltaic modules: Degradation and discoloration mechanisms and formulation modifications for improved photostability , 1997 .

[14]  Takashi Oozeki,et al.  PV System With Reconnection to Improve Output Under Nonuniform Illumination , 2012, IEEE Journal of Photovoltaics.

[15]  M. E. Ropp,et al.  Comparative study of maximum power point tracking algorithms , 2003 .

[16]  G. J. Jorgensen,et al.  Accelerated and Outdoor Aging Effects on Photovoltaic Module Interfacial Adhesion Properties , 2008 .

[17]  P. R. Wilson,et al.  Improved Optimization Strategy for Irradiance Equalization in Dynamic Photovoltaic Arrays , 2013, IEEE Transactions on Power Electronics.

[18]  Brad Lehman,et al.  An Adaptive Solar Photovoltaic Array Using Model-Based Reconfiguration Algorithm , 2008, IEEE Transactions on Industrial Electronics.

[19]  Z. M. Salameh,et al.  The effect of electrical array reconfiguration on the performance of a PV-powered volumetric water pump , 1990 .

[20]  M. Vitelli,et al.  On the necessity of joint adoption of both Distributed Maximum Power Point Tracking and Central Maximum Power Point Tracking in PV systems , 2014 .

[21]  N. D. Kaushika,et al.  An investigation of mismatch losses in solar photovoltaic cell networks , 2007 .

[22]  Guillermo Velasco-Quesada,et al.  Electrical PV Array Reconfiguration Strategy for Energy Extraction Improvement in Grid-Connected PV Systems , 2009, IEEE Transactions on Industrial Electronics.