Maximum Power Point Tracking in Photovoltaics: Overview and Application

The production of solar photovoltaic (PV) energy has a very powerful potential. In fact, this market knows a remarkable growth because it provides electricity from an inexhaustible and clean energy source. The generated power by PV panels depends on the environmental conditions. In order to extract and exploit the maximum of this power, Maximum Power Point Trackers (MPPT) are employed using different algorithms. MPPT techniques differ in terms of response time, stability and reliability. A combination of MPPT methods can be proposed to find a compromise between the three criteria mentioned above. In this paper, an overview of diverse MPPT types is presented and the comparison between them is provided. An implementation of two MPPT techniques is carried out and the simulation results are discussed.

[1]  Ali Faisal Murtaza,et al.  A novel hybrid MPPT technique for solar PV applications using perturb & observe and Fractional Open Circuit Voltage techniques , 2012, Proceedings of 15th International Conference MECHATRONIKA.

[2]  M. Arutchelvi,et al.  Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions , 2015 .

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

[4]  D. Baimel,et al.  Novel optimized method for maximum power point tracking in PV systems using Fractional Open Circuit Voltage technique , 2016, 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM).

[5]  Enamul Basher,et al.  Fuzzy logic based MPPT approach in a grid connected photovoltaic system , 2014, The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014).

[6]  Jawad Ahmad,et al.  A fractional open circuit voltage based maximum power point tracker for photovoltaic arrays , 2010, 2010 2nd International Conference on Software Technology and Engineering.

[7]  M. F. Almi,et al.  Advanced Fuzzy MPPT Controller for a Stand-alone PV System☆ , 2014 .

[8]  H. R. Chamorro,et al.  Improvements to MPPT for PV generation based on Mamdani and Takagi-Sugeno fuzzy techniques , 2012, 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA).

[9]  Eduardo F. Fernández,et al.  Estimating the maximum power of a High Concentrator Photovoltaic (HCPV) module using an Artificial Neural Network , 2013 .

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

[11]  S. Umashankar,et al.  Perturb and observe MPPT algorithm for solar PV systems-modeling and simulation , 2011, 2011 Annual IEEE India Conference.

[12]  Varaprasad Janamala,et al.  Application of Artificial Neural Networks in optimizing MPPT control for standalone solar PV system , 2014, 2014 International Conference on Contemporary Computing and Informatics (IC3I).

[13]  Tarek Selmi,et al.  P&O MPPT implementation using MATLAB/Simulink , 2014, 2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER).

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

[15]  B. Zahawi,et al.  Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications , 2012, IEEE Transactions on Sustainable Energy.

[16]  Myung-Joong Youn,et al.  New Maximum Power Point Tracker Using Sliding-Mode Observer for Estimation of Solar Array Current in the Grid-Connected Photovoltaic System , 2006, IEEE Transactions on Industrial Electronics.

[17]  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.

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

[19]  L.A.C. Lopes,et al.  An improved perturbation and observation maximum power point tracking algorithm for PV arrays , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[20]  Volker Pickert,et al.  Overview of maximum power point tracking control methods for PV systems , 2014 .

[21]  Sabir Messalti,et al.  A new neural networks MPPT controller for PV systems , 2015, IREC2015 The Sixth International Renewable Energy Congress.

[22]  Guo Chujia,et al.  A fuzzy MPPT method for PV array in power system , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).

[23]  Gudey Venkata Eswara Satish Kumar,et al.  A comparative study of different MPPT techniques using different dc-dc converters in a standalone PV system , 2016, 2016 IEEE Region 10 Conference (TENCON).

[24]  Luigi Piegari,et al.  Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking , 2010 .

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

[26]  Sapto Wibowo,et al.  Maximum power point tracking for photovoltaic using incremental conductance method , 2015 .

[27]  Md. Asiful Islam,et al.  Neural network based maximum power point tracking of photovoltaic arrays , 2011 .