Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications

Abstract This paper deals with the selection of dc-dc converter and control variable required to track the maximum power of photovoltaic (PV) array, to optimize the utilization of solar power. To reduce the maintenance cost and to simplify the model, the battery has not been used in the proposed PV system mainly used for cooking and heating applications. Since the battery has not been used, selection of dc-dc converter is an important consideration of the PV system in standalone applications. In the proposed system converter is selected based on maximum power transfer theorem which is dependent on load resistance. Different load resistance is considered for maximum power point tracking (MPPT) with different converter topologies, and it has been observed that buck-boost converter is suitable for any load resistance connected in the PV system. An effort has been taken to suitably choosing the control variable which is the output signal of the maximum power point (MPP) tracker. Control variable which is dependent on inputs of MPP tracker is decided based on the stability of the system. Two MPP trackers are designed based on neural-network (NN) controller and perturb and observe (P&O) algorithm. The tracking capabilities of both NN controller and the P&O algorithm is compared with the variation of irradiation and found that tracking capability of NN controller is better than P&O method. The system is simulated using MATLAB/Simulink environment, and the results show that NN controller tracks MPP at a faster rate with reduced oscillation.

[1]  P. Keller,et al.  Insulated Solar Electric Cooking – Tomorrow's healthy affordable stoves? , 2017 .

[2]  Xiaoli Meng,et al.  A review of maximum power point tracking methods of PV power system at uniform and partial shading , 2016 .

[3]  Susovon Samanta,et al.  Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems , 2015, IEEE Transactions on Industrial Electronics.

[4]  Marcelo Gradella Villalva,et al.  Voltage regulation of photovoltaic arrays: small-signal analysis and control design , 2010 .

[5]  Antonio Soria-Verdugo,et al.  Experimental analysis and simulation of the performance of a box-type solar cooker , 2015 .

[6]  S Ahmed,et al.  High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids , 2011, IEEE Transactions on Power Electronics.

[7]  Whei-Min Lin,et al.  Neural-Network-Based MPPT Control of a Stand-Alone Hybrid Power Generation System , 2011, IEEE Transactions on Power Electronics.

[8]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[9]  Ernesto Ruppert Filho,et al.  Dynamic analysis of the input-controlled buck converter fed by a photovoltaic array , 2008 .

[10]  Alivarani Mohapatra,et al.  Current based novel adaptive P&O MPPT algorithm for photovoltaic system considering sudden change in the irradiance , 2014, 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[11]  K. B. Mohanty,et al.  Performance improvement in MPPT of SPV system using NN controller under fast changing environmental condition , 2016, 2016 IEEE 6th International Conference on Power Systems (ICPS).

[12]  Roger Gules,et al.  A Maximum Power Point Tracking System With Parallel Connection for PV Stand-Alone Applications , 2008, IEEE Transactions on Industrial Electronics.

[13]  A. Zahnd,et al.  Benefits from a renewable energy village electrification system , 2009 .

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

[15]  Kanungo Barada Mohanty,et al.  A review on MPPT techniques of PV system under partial shading condition , 2017 .

[16]  Takashi Hiyama,et al.  Neural network based estimation of maximum power generation from PV module using environmental information , 1997 .

[17]  A. R. Jani,et al.  Design, development and testing of a small scale hybrid solar cooker , 2015 .

[18]  Ghias Farivar,et al.  Photovoltaic module single diode model parameters extraction based on manufacturer datasheet parameters , 2010, 2010 IEEE International Conference on Power and Energy.

[19]  Marcelo Gradella Villalva,et al.  Modeling and circuit-based simulation of photovoltaic arrays , 2009, 2009 Brazilian Power Electronics Conference.

[20]  Kostas Kalaitzakis,et al.  Novel battery charging regulation system for photovoltaic applications , 2004 .

[21]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[22]  Kashif Ishaque,et al.  A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition , 2013 .

[23]  Weidong Xiao,et al.  Regulation of Photovoltaic Voltage , 2007, IEEE Transactions on Industrial Electronics.

[24]  Bidyadhar Subudhi,et al.  A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems , 2013, IEEE Transactions on Sustainable Energy.

[25]  C. Y. Yen,et al.  Residential photovoltaic energy storage system , 1998, IEEE Trans. Ind. Electron..

[26]  Bablu Kumar,et al.  Comparative study of indoor air pollution using traditional and improved cooking stoves in rural households of Northern India , 2014 .

[27]  Andres Barrado,et al.  Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems , 2006 .

[28]  R. Rajesh,et al.  A comprehensive review of photovoltaic systems , 2015 .

[29]  N. Panwar,et al.  Role of renewable energy sources in environmental protection: A review , 2011 .