Models and methods for energy productivity analysis of PV systems

This paper discusses models and methods for the analysis of PV systems with Distributed Maximum Power Point Tracking (DMPPT). An Energy Productivity Analysis Algorithm (EPAA) is discussed, integrating models and algorithms from component level to system level, allowing the analysis of PV systems operating in partial shading and electrical mismatched conditions. The EPAA provides realistic assessment of the energy productivity including the effects of PV panels characteristics, of shadows and of the MPPT converters. A comparative evaluation of boost-based vs buck-boost-based DMPPT solutions is presented in the paper, highlighting how the energy productivity of DMPPT PV systems is influenced by the parameters of real components.

[1]  Chris Deline,et al.  A simplified model of uniform shading in large photovoltaic arrays , 2013 .

[2]  Ronnie Belmans,et al.  Partial shadowing of photovoltaic arrays with different system configurations: literature review and field test results , 2003 .

[3]  Alistair B. Sproul,et al.  Derivation of the solar geometric relationships using vector analysis , 2007 .

[4]  Johann W. Kolar,et al.  Classification and Comparative Evaluation of PV Panel-Integrated DC–DC Converter Concepts , 2012, IEEE Transactions on Power Electronics.

[5]  F. Chenlo,et al.  Experimental study of mismatch and shading effects in the I-V characteristic of a photovoltaic module , 2006 .

[6]  Kashif Ishaque,et al.  A Deterministic Particle Swarm Optimization Maximum Power Point Tracker for Photovoltaic System Under Partial Shading Condition , 2013, IEEE Transactions on Industrial Electronics.

[7]  Nicola Femia,et al.  The Effects of Shadows on Power and Reliability of PV Panels , 2012 .

[8]  Weidong Xiao,et al.  A Parameterization Approach for Enhancing PV Model Accuracy , 2013, IEEE Transactions on Industrial Electronics.

[9]  P. T. Krein,et al.  Differential Power Processing for Increased Energy Production and Reliability of Photovoltaic Systems , 2013, IEEE Transactions on Power Electronics.

[10]  E. V. Paraskevadaki,et al.  Evaluation of MPP Voltage and Power of mc-Si PV Modules in Partial Shading Conditions , 2011, IEEE Transactions on Energy Conversion.

[11]  D. Maksimovic,et al.  Architectures and Control of Submodule Integrated DC–DC Converters for Photovoltaic Applications , 2013, IEEE Transactions on Power Electronics.

[12]  B. Raison,et al.  Maximizing the Power Output of Partially Shaded Photovoltaic Plants Through Optimization of the Interconnections Among Its Modules , 2012, IEEE Journal of Photovoltaics.

[13]  Massimo Vitelli,et al.  Design of dc/dc Converters for DMPPT PV Applications Based on the Concept of Energetic Efficiency , 2010 .

[14]  R. W. Erickson,et al.  Characterization of Power Optimizer Potential to Increase Energy Capture in Photovoltaic Systems Operating Under Nonuniform Conditions , 2013, IEEE Transactions on Power Electronics.

[15]  Dragan Maksimovic,et al.  Performance of Mismatched PV Systems With Submodule Integrated Converters , 2014, IEEE Journal of Photovoltaics.

[16]  M. Vitelli,et al.  Power Electronics and Control Techniques for Maximum Energy Harvesting in Photovoltaic Systems , 2012 .

[17]  J. Laschinski,et al.  Benchmarking the Different PV System Concepts Focussing on their Total Cost of Ownership , 2010 .

[18]  J. W. Bishop Computer simulation of the effects of electrical mismatches in photovoltaic cell interconnection circuits , 1988 .