Two novel techniques for increasing energy efficiency of photovoltaic-battery systems

Abstract A photovoltaic (PV)-battery power source consists of a PV panel, a primary DC/DC converter, and a battery or a batteries bank. It is generally used to provide electric energy for local consumers such as buildings. Maximum power point tracking (MPPT) schemes cannot be applied to it because the PV panel output current is only determined by the state of charge (SOC) of the battery. In this study, two novel techniques are proposed to increase the energy efficiency of PV-battery power sources. Replacing the primary DC/DC converter with a novel proposed DC/PWM inverter, and decomposing the PV panel into a set of parallel homogenous configured PV modules are the two proposed techniques. It is shown that the implementation of each technique effectively increases the energy efficiency of PV-battery power sources. The two techniques are combined to each other to implement a new PV-battery power source. It is proved that the energy efficiency of the new version is significantly more than conventional version. Simulated results performed in MATLAB/Proteus 6 verify an increase of 29% in the energy efficiency. Four PV-battery power sources have been built, and comparative experimental results are presented that verify an increase of 27% in the energy efficiency.

[1]  Woo-Young Choi,et al.  Photovoltaic panel integrated power conditioning system using a high efficiency step-up DC–DC converter , 2012 .

[2]  Bo Yuan,et al.  A high step-up current fed multi-resonant converter with output voltage doubler , 2011, 2011 Twenty-Sixth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[3]  Kashif Ishaque,et al.  An improved modeling method to determine the model parameters of photovoltaic (PV) modules using differential evolution (DE) , 2011 .

[4]  Yihua Hu,et al.  New multi-stage DC-DC converters for grid-connected photovoltaic systems , 2015 .

[5]  Dionisio Ramirez,et al.  Simple estimation of PV modules loss resistances for low error modelling , 2010 .

[6]  William A. Beckman,et al.  Improvement and validation of a model for photovoltaic array performance , 2006 .

[7]  M. F. AlHajri,et al.  Optimal extraction of solar cell parameters using pattern search , 2012 .

[8]  Hassan Fathabadi,et al.  A novel design including cooling media for Lithium-ion batteries pack used in hybrid and electric vehicles , 2014 .

[9]  Feng Hong,et al.  Research of an interleaved boost converter with four interleaved boost convert cells , 2009, 2009 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics (PrimeAsia).

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

[11]  Mingyao Ma,et al.  A non-isolated high step-up converter with built-in transformer derived from its isolated counterpart , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[12]  Teuku Meurah Indra Mahlia,et al.  Characterization of PV panel and global optimization of its model parameters using genetic algorithm , 2013 .

[13]  Wensong Yu,et al.  High efficiency converter with charge pump and coupled inductor for wide input photovoltaic AC module applications , 2009, 2009 IEEE Energy Conversion Congress and Exposition.

[14]  Byoung-Kuk Lee,et al.  Design and Control of an Optimized Battery Charger for an xEV Based on Photovoltaic Power Systems , 2014 .

[15]  Benjamin Y. H. Liu,et al.  The interrelationship and characteristic distribution of direct, diffuse and total solar radiation , 1960 .

[16]  Nelson A. Kelly,et al.  Solar photovoltaic charging of lithium-ion batteries , 2010 .

[17]  Meiying Ye,et al.  Parameter extraction of solar cells using particle swarm optimization , 2009 .

[18]  Hassan Fathabadi,et al.  Novel neural-analytical method for determining silicon/plastic solar cells and modules characteristics , 2013 .

[19]  Hee-Je Kim,et al.  A high efficiency photovoltaic module integrated converter with the asymmetrical half-bridge flyback converter , 2010 .

[20]  Kwang-Heon Kim,et al.  High step-up dc-dc converter with high efficiency for photovoltaic module integrated converter systems , 2009, INTELEC 2009 - 31st International Telecommunications Energy Conference.

[21]  Mauro Gamberi,et al.  Technical and economic design of photovoltaic and battery energy storage system , 2014 .

[22]  Rajab Challoo,et al.  Shading and bypass diode impacts to energy extraction of PV arrays under different converter configurations , 2014 .

[23]  Ying Zhang,et al.  A comparative study of the maximum power point tracking methods for PV systems , 2014 .

[24]  Hassan Fathabadi,et al.  Lambert W function-based technique for tracking the maximum power point of PV modules connected in various configurations , 2015 .

[25]  F. Almonacid,et al.  A simple accurate model for the calculation of shading power losses in photovoltaic generators , 2013 .

[26]  Bong-Hwan Kwon,et al.  High-efficiency module-integrated photovoltaic power conditioning system , 2009 .

[27]  Soteris A. Kalogirou,et al.  Artificial neural network-based model for estimating the produced power of a photovoltaic module , 2013 .

[28]  T. Easwarakhanthan,et al.  Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers , 1986 .

[29]  Shaowu Li,et al.  Maximum power point tracking control strategies with variable weather parameters for photovoltaic generation systems , 2013 .

[30]  M. F. AlHajri,et al.  A new estimation approach for determining the I–V characteristics of solar cells , 2011 .

[31]  Kamaruzzaman Sopian,et al.  Efficiencies and improvement potential of building integrated photovoltaic thermal (BIPVT) system , 2014 .

[32]  S. Arul Daniel,et al.  Studies on battery storage requirement of PV fed wind-driven induction generators , 2013 .

[33]  Rik W. De Doncker,et al.  A high-efficient LLCC series-parallel resonant converter , 2010, 2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[34]  Michael A. Danzer,et al.  Optimal charge control strategies for stationary photovoltaic battery systems , 2014 .

[35]  Evandro Soares da Silva,et al.  An improved boost PWM soft-single-switched converter with low voltage and current stresses , 2001, IEEE Trans. Ind. Electron..

[36]  Kamel Barra,et al.  Predictive direct power control for photovoltaic grid connected system: An approach based on multilevel converters , 2014 .

[37]  Chung-Yuen Won,et al.  Analysis and Design of a Soft-Switching Boost Converter With an HI-Bridge Auxiliary Resonant Circuit , 2010, IEEE Transactions on Power Electronics.

[38]  Jung-Min Kwon,et al.  Highly Efficient Microinverter With Soft-Switching Step-Up Converter and Single-Switch-Modulation Inverter , 2015, IEEE Transactions on Industrial Electronics.

[39]  K. M. Tsang,et al.  Model based rapid maximum power point tracking for photovoltaic systems , 2013 .

[40]  Giacomo Capizzi,et al.  A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module , 2012, ArXiv.

[41]  K. M. Tsang,et al.  Three-level grid-connected photovoltaic inverter with maximum power point tracking , 2013 .

[42]  Jason Dominic,et al.  High Boost Ratio Hybrid Transformer DC–DC Converter for Photovoltaic Module Applications , 2013 .

[43]  Eugene H. Kim,et al.  High step-up resonant push-pull converter with high efficiency , 2009 .

[44]  Yi-Hua Liu,et al.  Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments , 2013 .

[45]  Abderrezak Guessoum,et al.  A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison , 2012 .

[46]  Lele Peng,et al.  A new method for determining the characteristics of solar cells , 2013 .

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

[48]  S. Meng,et al.  Predicting Energy Conversion Efficiency of Dye Solar Cells from First Principles , 2014 .

[49]  Kenneth Ip,et al.  The effect of weather conditions on the efficiency of PV panels in the southeast of UK , 2014 .

[50]  Yu-Kang Lo,et al.  A battery charger with maximum power point tracking function for low-power photovoltaic system applications , 2009, 2009 International Conference on Power Electronics and Drive Systems (PEDS).

[51]  Hassan Fathabadi,et al.  High thermal performance lithium-ion battery pack including hybrid active–passive thermal management system for using in hybrid/electric vehicles , 2014 .

[52]  A. Ortiz-Conde,et al.  New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics , 2006 .

[53]  Bin Gu,et al.  Hybrid Transformer ZVS/ZCS DC–DC Converter With Optimized Magnetics and Improved Power Devices Utilization for Photovoltaic Module Applications , 2015, IEEE Transactions on Power Electronics.

[54]  Elena Maria Tresso,et al.  Characterization of photovoltaic modules for low-power indoor application , 2013 .

[55]  Vivek Agarwal,et al.  Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions , 2008, IEEE Transactions on Industrial Electronics.

[56]  Gang Pei,et al.  Effects of frame shadow on the PV character of a photovoltaic/thermal system , 2014 .

[57]  Xingzhen Zhou,et al.  Improving Energy Conversion Efficiency of Dye-Sensitized Solar Cells by Modifying TiO2 Photoanodes with Nitrogen-Reduced Graphene Oxide , 2014 .

[58]  P. Mialhe,et al.  Simple parameter extraction method for illuminated solar cells , 2006 .

[59]  Jeff Frolik,et al.  Control analysis for solar panel dust mitigation using an electric curtain , 2012 .