Dynamic electro-thermal modeling of solar cells and modules

Abstract An accurate model describing the electro-thermal behavior of solar modules, subject to varying irradiance conditions, is presented. The model relies on an enhanced version of the popular one-diode model, implementing the temperature dependence of the parameters by means of a thermal feedback network. The feedback network is built by exploiting a very effective analytical approach which reduces computational efforts and allows an automated solution. The cell-level discretization allows the description of the temperature distribution over solar cell surfaces in panels subject to mismatch events (e.g., partial shading, localized soiling, etc.), along with its time evolution. Experiments performed on a partially shaded solar string evidence good agreement with the model. In uniform condition the temperature error is less than 3 °C, while, under mismatch, the error on the maximum temperature of a cell subject to hot spot is limited to 5 °C.

[1]  Wayne A. Anderson,et al.  Temperature dependence of shunt resistance in photovoltaic devices , 1986 .

[2]  Z. Bencic,et al.  Identification Of Thermal Equivalent - Circuit Parameters For Semiconductors , 1990, [Proceedings] 1990 IEEE Workshop on Computers in Power Electronics.

[3]  Vincenzo d'Alessandro,et al.  Accurate Maximum Power Tracking in Photovoltaic Systems Affected by Partial Shading , 2015 .

[4]  Derrick Holliday,et al.  Thermography-Based Virtual MPPT Scheme for Improving PV Energy Efficiency Under Partial Shading Conditions , 2014, IEEE Transactions on Power Electronics.

[5]  Vincenzo d'Alessandro,et al.  An automated high-granularity tool for a fast evaluation of the yield of PV plants accounting for shading effects , 2015 .

[6]  S. Sze,et al.  Physics of Semiconductor Devices: Sze/Physics , 2006 .

[7]  M. U. Siddiqui,et al.  Three-dimensional thermal modeling of a photovoltaic module under varying conditions , 2012 .

[8]  Jien Ma,et al.  Identifying PV Module Mismatch Faults by a Thermography-Based Temperature Distribution Analysis , 2014, IEEE Transactions on Device and Materials Reliability.

[9]  Xueguan Song,et al.  Photovoltaic fault detection using a parameter based model , 2013 .

[10]  Ali Akbar Merrikh,et al.  Parametric evaluation of foster RC-network for predicting transient evolution of natural convection and radiation around a flat plate , 2014, Fourteenth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm).

[11]  M. Green Solar Cells : Operating Principles, Technology and System Applications , 1981 .

[12]  Philip T. Krein,et al.  Reexamination of Photovoltaic Hot Spotting to Show Inadequacy of the Bypass Diode , 2015, IEEE Journal of Photovoltaics.

[13]  Alessandro Magnani,et al.  Fast novel thermal analysis simulation tool for integrated circuits (FANTASTIC) , 2014, 20th International Workshop on Thermal Investigations of ICs and Systems.

[14]  P. Maffezzoni,et al.  Multipoint moment matching reduction from port responses of dynamic thermal networks , 2005, IEEE Transactions on Components and Packaging Technologies.

[15]  Juhun Song,et al.  Numerical analysis on the thermal characteristics of photovoltaic module with ambient temperature variation , 2011 .

[16]  Vincenzo d'Alessandro,et al.  A modified bypass circuit for improved hot spot reliability of solar panels subject to partial shading , 2016 .

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

[18]  W Marańda,et al.  Extraction of thermal model parameters for field-installed photovoltaic module , 2010, 2010 27th International Conference on Microelectronics Proceedings.

[19]  William Gerard Hurley,et al.  A thermal model for photovoltaic panels under varying atmospheric conditions , 2010 .

[20]  Paolo Maffezzoni,et al.  Compact Electrothermal Macromodeling of Photovoltaic Modules , 2009, IEEE Transactions on Circuits and Systems II: Express Briefs.