Dynamic output power optimization in hybrid PV/T panels

The generation of electrical and thermal energy with a single equipment provides many advantages in terms of the deployment of renewable energies for satisfying both electrical and thermal energy requirements. The maximization of the generated power for this type of equipment represents several challenges posed by its non-linear characteristics and the dynamics involved. In this work an optimizing strategy based on Lyapunov theory is proposed for solving this problem in a systematic way. The convergence of the strategy is analyzed in terms of Lyapunov functions and the dynamic characteristic of the thermal behavior. Simulation results considering a PV/T panel illustrate the effectiveness of the proposed approach as well as the requirements in terms of implementation issues. This approach can be refined to consider non-linear dynamics an uncertain description of the PV/T panel.

[1]  Sauro Longhi,et al.  Experimental validation of a dynamic linear model of photovoltaic-thermal collector , 2013, 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC).

[2]  Tor Arne Johansen,et al.  Lyapunov-based optimizing control of nonlinear blending processes , 2005, IEEE Transactions on Control Systems Technology.

[3]  P. Olver Nonlinear Systems , 2013 .

[4]  J. Fernandes,et al.  Hybrid photovoltaic/thermal (PV/T) solar systems simulation with Simulink/Matlab , 2010 .

[5]  S. Iniyan,et al.  Flat plate solar photovoltaic–thermal (PV/T) systems : A reference guide , 2015 .

[6]  Joshua M. Pearce,et al.  Effects on amorphous silicon photovoltaic performance from high-temperature annealing pulses in photovoltaic thermal hybrid devices , 2012, Solar Energy Materials and Solar Cells.

[7]  Mike Duke,et al.  Studies of control strategies for Building Integrated Solar Energy System , 2011, 2011 IEEE Conference on Clean Energy and Technology (CET).

[8]  Martin Guay,et al.  Gray-box extremum-seeking control for real-time optimization of uncertain nonlinear systems , 2015, 2015 American Control Conference (ACC).

[9]  Y. Tripanagnostopoulos,et al.  APPLICATION ASPECTS OF HYBRID PV/T SOLAR SYSTEMS , 2022 .

[10]  Swapnil Dubey,et al.  Thermal modeling of a combined system of photovoltaic thermal (PV/T) solar water heater , 2008 .

[11]  Joshua M. Pearce,et al.  Optimizing limited solar roof access by exergy analysis of solar thermal, photovoltaic, and hybrid photovoltaic thermal systems , 2014 .

[12]  S. J. Harrison,et al.  The effect of hybrid photovoltaic thermal device operating conditions on intrinsic layer thickness optimization of hydrogenated amorphous silicon solar cells , 2012 .

[13]  Martin Guay,et al.  A comparison of extremum seeking algorithms applied to vapor compression system optimization , 2014, 2014 American Control Conference.

[14]  Zied Chtourou,et al.  Artificial Neural Network based control for PV/T panel to track optimum thermal and electrical power , 2013 .

[15]  Sauro Longhi,et al.  A novel photovoltaic-thermal collector prototype: Design, modeling, experimental validation and control , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[16]  Tin-Tai Chow,et al.  A Review on Photovoltaic/Thermal Hybrid Solar Technology , 2010, Renewable Energy.

[17]  K Touafek,et al.  Modeling and Experimental Validation of a New Hybrid Photovoltaic Thermal Collector , 2011, IEEE Transactions on Energy Conversion.

[18]  Elizabeth Thomsen,et al.  Spectral beam splitting for efficient conversion of solar energy - A review , 2013 .

[19]  Tin-Tai Chow,et al.  Performance analysis of photovoltaic-thermal collector by explicit dynamic model , 2003 .

[20]  Soteris A. Kalogirou,et al.  Hybrid PV/T solar systems for domestic hot water and electricity production , 2006 .

[21]  J. Buzás,et al.  Transfer functions of solar collectors for dynamical analysis and control design , 2014 .