An enhanced P&O checking algorithm MPPT for high tracking efficiency of partially shaded PV module

Abstract This paper presents the impact of partial shading to the PV system and proposes an enhanced Perturb and Observe (P&O) algorithm with a checking algorithm. This checking algorithm compared all existed peaks on the PV curve to clarify the global maximum power point (GMPP). The boost converter duty cycle is calculated using voltage at MPP (VMPP), identified through a variable step size P&O algorithm. The major advantages of this method are low-cost, simple and accurate. The PV power and voltage rating used for this paper are 42 W and 17 V respectively. Boost converter is used to boost the PV voltage twice for the load. Two different methodologies have been done which were a simulation model using MATLAB/Simulink and hardware implementation using Arduino Mega 2560. Both simulation and hardware results indicated that the proposed algorithm provided excellent efficiency of 99.96% and 99.86% respectively. The proposed algorithm improved the conventional P&O MPPT tracking efficiency by more than 16% during partial shading condition. On the other hand, the system with conventional P&O MPPT seems unstable and produced higher percentage of error. Plus, the boost converter efficiency also provided more than 70% in both conditions. In summary, the proposed method is useful for solar PV in any irradiation condition with high efficiency of the system.

[1]  Tole Sutikno,et al.  Variable Step Size Perturb and Observe MPPT for PV Solar Applications , 2015 .

[2]  Ires Iskender,et al.  Simulation and experimental study of shading effect on series and parallel connected photovoltaic PV modules , 2011, 2011 7th International Conference on Electrical and Electronics Engineering (ELECO).

[3]  Kalyan Chatterjee,et al.  Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation , 2017 .

[4]  Saad Mekhilef,et al.  Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using dSPACE , 2014 .

[5]  V. Agarwal,et al.  MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics , 2008, IEEE Transactions on Energy Conversion.

[6]  Hassan Fathabadi,et al.  Novel fast dynamic MPPT (maximum power point tracking) technique with the capability of very high accurate power tracking , 2016 .

[7]  Luigi Piegari,et al.  Optimized Adaptive Perturb and Observe Maximum Power Point Tracking Control for Photovoltaic Generation , 2015 .

[8]  Bin Wang,et al.  An improved perturbation and observation maximum power point tracking algorithm based on a PV module four-parameter model for higher efficiency , 2017 .

[9]  B. Hajji,et al.  A New MPPT-based ANN for Photovoltaic System under Partial Shading Conditions , 2017 .

[10]  Sabir Messalti,et al.  Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems. , 2016, ISA transactions.

[11]  Rui Melício,et al.  Effect of Shading on Series Solar Modules: Simulation and Experimental Results , 2014 .

[12]  C. K. Sundarabalan,et al.  Performance Investigation of Fuzzy Logic Controlled MPPT for Energy Efficient Solar PV Systems , 2015 .

[13]  Santi Agatino Rizzo,et al.  ANN based MPPT method for rapidly variable shading conditions , 2015 .

[14]  Carmelina Abagnale,et al.  Energy, economic and environmental performance appraisal of a trigeneration power plant for a new district: Advantages of using a renewable fuel , 2016 .

[15]  Mohamed Ibrahim,et al.  Maximum power point tracker for a PV cell using a fuzzy agent adapted by the fractional open circuit voltage technique , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[16]  Mohammad Hassan Moradi,et al.  Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review , 2013 .

[17]  Saad Mekhilef,et al.  A review on solar energy use in industries , 2011 .

[18]  Hocine Belmili,et al.  A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems , 2015 .

[19]  Jean-Philippe Martin,et al.  A PSO-Based Global MPPT Technique for Distributed PV Power Generation , 2015, IEEE Transactions on Industrial Electronics.

[20]  Tariq Iqbal,et al.  Comparing bisection numerical algorithm with fractional short circuit current and open circuit voltage methods for MPPT photovoltaic systems , 2016, 2016 IEEE Electrical Power and Energy Conference (EPEC).

[21]  E. Koutroulis,et al.  A New Technique for Tracking the Global Maximum Power Point of PV Arrays Operating Under Partial-Shading Conditions , 2012, IEEE Journal of Photovoltaics.

[22]  Miqdam T. Chaichan,et al.  Effect of Shadows on the Performance of Solar Photovoltaic , 2017 .

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

[24]  Ali M. Eltamaly,et al.  A comprehensive comparison of different MPPT techniques for photovoltaic systems , 2015 .

[25]  Ronnie Belmans,et al.  Partial shadowing of photovoltaic arrays with different system configurations: literature review and field test results , 2003 .

[26]  Mohammad A.S. Masoum,et al.  Impact of partial shading on voltage- and current-based maximum power point tracking of solar modules , 2010, IEEE PES General Meeting.

[27]  Frede Blaabjerg,et al.  Renewable energy resources: Current status, future prospects and their enabling technology , 2014 .

[28]  Jubaer Ahmed,et al.  An Accurate Method for MPPT to Detect the Partial Shading Occurrence in a PV System , 2017, IEEE Transactions on Industrial Informatics.

[29]  Zhengming Zhao,et al.  MPPT techniques for photovoltaic applications , 2013 .

[30]  Toshihiko Noguchi,et al.  Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-and-converter module system , 2002, IEEE Trans. Ind. Electron..

[31]  N. D. Kaushika,et al.  Simulation model of ANN based maximum power point tracking controller for solar PV system , 2011 .

[32]  Saad Mekhilef,et al.  Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter , 2011, IEEE Transactions on Industrial Electronics.

[33]  Constantinos Sourkounis,et al.  Variable step size P&O MPPT algorithm for PV systems , 2010, 2010 12th International Conference on Optimization of Electrical and Electronic Equipment.

[34]  M. K. Darwish,et al.  Maximum power point tracking for photovoltaic system: Modified Perturb and Observe algorithm , 2012, 2012 47th International Universities Power Engineering Conference (UPEC).

[35]  S. K. Kollimalla,et al.  Variable Perturbation Size Adaptive P&O MPPT Algorithm for Sudden Changes in Irradiance , 2014, IEEE Transactions on Sustainable Energy.

[36]  S. Saravanan,et al.  Maximum power point tracking algorithms for photovoltaic system – A review , 2016 .

[37]  Kashif Ishaque,et al.  An Improved Particle Swarm Optimization (PSO)–Based MPPT for PV With Reduced Steady-State Oscillation , 2012, IEEE Transactions on Power Electronics.

[38]  Tole Sutikno,et al.  A Review on Perturb and Observe Maximum Power Point Tracking in Photovoltaic System , 2015 .

[39]  A. D. Dhass,et al.  Influence of shunt resistance on the performance of solar photovoltaic cell , 2012, 2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM).

[40]  Adel Mellit,et al.  Experimental assessment of new fast MPPT algorithm for PV systems under non-uniform irradiance conditions , 2017 .

[41]  Chee Wei Tan,et al.  Feasibility analysis of hybrid photovoltaic/battery/fuel cell energy system for an indigenous residence in East Malaysia , 2017 .

[42]  Tole Sutikno,et al.  MPPT for PV System Based on Variable Step Size Perturb and Observe Algorithm , 2017 .

[43]  F. Robinson,et al.  A variable step size perturb and observe algorithm for photovoltaic maximum power point tracking , 2012, 2012 47th International Universities Power Engineering Conference (UPEC).

[44]  Kashif Ishaque,et al.  The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions , 2014 .

[45]  N. Rajasekar,et al.  A comprehensive review on solar PV maximum power point tracking techniques , 2017 .

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

[47]  Xiaofeng Wu,et al.  Maximum power point tracking using a variable antecedent fuzzy logic controller , 2016 .

[48]  Z. Salam,et al.  An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency , 2015 .