Maximum power point tracking techniques in photovoltaic systems: A brief review

The use of photovoltaic (PV) systems is increasingly growing in importance since they involve an exploitation of solar radiation constituting an energy source which is renewable, available in most places, and pollution-free. Despite their numerous advantages, PV systems have two major drawbacks: low energy conversion efficiency and loss of energy due to variations in meteorological conditions; for this reason, Maximum Power Point Tracking (MPPT) control techniques play a key role in exploiting the maximum energy caught by PV modules. This paper presents a brief review of the main MPPT strategies: general characteristics, advantages, and drawbacks of the proposed methods are discussed.

[1]  Zhi-Hong Mao,et al.  Maximum Power Point Tracking Using Model Reference Adaptive Control , 2014, IEEE Transactions on Power Electronics.

[2]  Honghua Wang,et al.  A novel stand-alone PV generation system based on variable step size INC MPPT and SVPWM control , 2009, 2009 IEEE 6th International Power Electronics and Motion Control Conference.

[3]  Hebertt Sira-Ramírez,et al.  Sliding Mode Control , 2019, CIRP Encyclopedia of Production Engineering.

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

[5]  Saad Mekhilef,et al.  Comparison study of maximum power point tracker techniques for PV systems , 2010 .

[6]  Engin Karatepe,et al.  Artificial neural network-polar coordinated fuzzy controller based maximum power point tracking control under partially shaded conditions , 2009 .

[7]  Rajesh Kumar Nema,et al.  Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications , 2013 .

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

[9]  Chee Wei Tan,et al.  A study of maximum power point tracking algorithms for stand-alone Photovoltaic Systems , 2011, 2011 IEEE Applied Power Electronics Colloquium (IAPEC).

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

[11]  Bhim Singh,et al.  Real-Time HIL Implementation of Sliding Mode Control for Standalone System Based on PV Array Without Using Dumpload , 2015, IEEE Transactions on Sustainable Energy.

[12]  M. E. Ropp,et al.  Comparative study of maximum power point tracking algorithms , 2003 .

[13]  B N Alajmi,et al.  Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System , 2011, IEEE Transactions on Power Electronics.

[14]  Chieh-Li Chen,et al.  Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach , 2009 .

[15]  Yang Qing,et al.  The fault diagnosis algorithm for transformer based on Extenics and rough set theory , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[16]  David J. Atkinson,et al.  Operating Characteristics of the P&O Algorithm at High Perturbation Frequencies for Standalone PV Systems , 2015, IEEE Transactions on Energy Conversion.

[17]  Djamila Rekioua,et al.  Tracking power photovoltaic system with sliding mode control strategy , 2013 .

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

[19]  R. Ramaprabha,et al.  Intelligent Controller based Maximum Power Point Tracking for Solar PV System , 2011 .

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

[21]  Daniel E. Miller A new approach to model reference adaptive control , 2003, IEEE Trans. Autom. Control..

[22]  S. Asghar Gholamian,et al.  Optimization of New Fuzzy Logic Controller by Genetic Algorithm for Maximum Power Point Tracking in Photovoltaic System , 2013 .

[23]  N. H. Helwa,et al.  Technical note Maximum power point traking controller for PV systems using neural networks , 2005 .

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

[25]  H. Yau,et al.  A New Fractional-Order Based Intelligent Maximum Power Point Tracking Control Algorithm for Photovoltaic Power Systems , 2015 .

[26]  Yasar Avsar,et al.  Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model , 2015 .

[27]  Stephen J. Finney,et al.  A Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Systems in Microgrids , 2013, IEEE Transactions on Industrial Electronics.

[28]  Anastasios I. Dounis,et al.  Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system , 2013 .

[29]  Tamer Khatib,et al.  An Improved Maximum Power Point Tracking Controller for PV Systems Using Artificial Neural Network , 2012 .

[30]  N. H. Helwa,et al.  Maximum power point traking controller for PV systems using neural networks , 2005 .