On the photovoltaic explicit empirical model: Operations along the current-voltage curve

Modelling of PhotoVoltaic (PV) devices is today used for a number of activities such as systems monitoring, power forecasting, fault diagnosis, etc. Explicit empirical models based on the datasheet parameters are quite easy to implement in computer-aided calculations and therefore they allow fast evaluations of the electrical behavior, whatever is the test condition (steady-state, transient, etc.). This paper focus on the introduction of a correction factor for one of these models in order to improve its performance for operating points different than maximum power point (MPP). The comparison between the current-voltage (I-V) characteristics predicted by the former and the proposed models clearly shows the effectiveness of the proposed correction factors. The model is tested for different environment conditions and for different materials constituting the PV cells.

[1]  E. Muljadi,et al.  A cell-to-module-to-array detailed model for photovoltaic panels , 2012 .

[2]  Silvano Vergura,et al.  Scalable model of PV cell in variable environment condition based on the manufacturer datasheet for circuit simulation , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).

[3]  Eric Monmasson,et al.  Optimization of Perturbative PV MPPT Methods Through Online System Identification , 2014, IEEE Transactions on Industrial Electronics.

[4]  S. Vergura,et al.  Inferential statistics for monitoring and fault forecasting of PV plants , 2008, 2008 IEEE International Symposium on Industrial Electronics.

[5]  A. Massi Pavan,et al.  An innovative photovoltaic field simulator for hardware-in-the-loop test of power conditioning units , 2009, 2009 International Conference on Clean Electrical Power.

[6]  Giuseppe Acciani,et al.  A Finite-Element Approach to Analyze the Thermal Effect of Defects on Silicon-Based PV Cells , 2012, IEEE Transactions on Industrial Electronics.

[7]  Giorgio Sulligoi,et al.  The Photovoltaic Laboratory at the University of Trieste, Italy , 2014, 2014 AEIT Annual Conference - From Research to Industry: The Need for a More Effective Technology Transfer (AEIT).

[8]  S. Vergura,et al.  Typical defects of PV-cells , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[9]  G. Sulligoi,et al.  Power Electronic Conditioning Systems for Industrial Photovoltaic Fields: Centralized or String Inverters? , 2007, 2007 International Conference on Clean Electrical Power.

[10]  Carlo Meloni,et al.  Energy production forecasting in a PV plant using transfer function models , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).

[11]  K. J. Sauer,et al.  Systematic approaches to ensure correct representation of measured multi-irradiance module performance in PV system energy production forecasting software programs , 2012, 2012 38th IEEE Photovoltaic Specialists Conference.

[12]  Soteris A. Kalogirou,et al.  Fault detection method for grid-connected photovoltaic plants , 2014 .

[13]  S. Vergura,et al.  Modeling defects of PV-cells by means of FEM , 2009, 2009 International Conference on Clean Electrical Power.

[14]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[15]  S. Vergura,et al.  3-D PV-cell model by means of FEM , 2009, 2009 International Conference on Clean Electrical Power.

[16]  Giuseppina Ciulla,et al.  An improved five-parameter model for photovoltaic modules , 2010 .

[17]  A. Massi Pavan,et al.  Explicit empirical model for general photovoltaic devices: Experimental validation at maximum power point , 2014 .

[18]  Alessandro Massi Pavan,et al.  A study on the mismatch effect due to the use of different photovoltaic modules classes in large‐scale solar parks , 2014 .

[19]  Soteris A. Kalogirou,et al.  A comparison between BNN and regression polynomial methods for the evaluation of the effect of soiling in large scale photovoltaic plants , 2013 .

[20]  Efstratios I. Batzelis,et al.  An Explicit PV String Model Based on the Lambert $W$ Function and Simplified MPP Expressions for Operation Under Partial Shading , 2014, IEEE Transactions on Sustainable Energy.

[21]  A. Massi Pavan,et al.  A hybrid model (SARIMA-SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant , 2013 .

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

[23]  Alberto Tessarolo,et al.  On the impact of photovoltaic module characterization on the prediction of PV plant productivity , 2014, 2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER).

[24]  Loredana Cristaldi,et al.  Reference strings for statistical monitoring of the energy performance of photovoltaic fields , 2015, 2015 International Conference on Clean Electrical Power (ICCEP).