Development and Comparison of an Improved Incremental Conductance Algorithm for Tracking the MPP of a Solar PV Panel

This paper proposes an adaptive and optimal control strategy for a solar photovoltaic (PV) system. The control strategy ensures that the solar PV panel is always perpendicular to sunlight and simultaneously operated at its maximum power point (MPP) for continuously harvesting maximum power. The proposed control strategy is the control combination between the solar tracker (ST) and MPP tracker that can greatly improve the generated electricity from solar PV systems. Regarding the ST system, the paper presents two drive approaches including open- and closed-loop drives. Additionally, the paper also proposes an improved incremental conductance algorithm for enhancing the speed of the MPP tracking of a solar PV panel under various atmospheric conditions as well as guaranteeing that the operating point always moves toward the MPP using this proposed algorithm. The simulation and experimental results obtained validate the effectiveness of the proposal under various atmospheric conditions.

[1]  Liu Chun-xia,et al.  An improved perturbation and observation MPPT method of photovoltaic generate system , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[2]  Johan H R Enslin,et al.  Integrated photovoltaic maximum power point tracking converter , 1997, IEEE Trans. Ind. Electron..

[3]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[4]  Phan Quoc Dzung,et al.  The new MPPT algorithm using ANN-based PV , 2010, International Forum on Strategic Technology 2010.

[5]  Wang Ping,et al.  An improved MPPT algorithm based on traditional incremental conductance method , 2011, 2011 4th International Conference on Power Electronics Systems and Applications.

[6]  Zhang Bao-jian,et al.  Designment of automatic tracking system of solar energy system , 2010, 2010 The 2nd International Conference on Industrial Mechatronics and Automation.

[7]  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).

[8]  S. Jeevananthan,et al.  Performance improvement of a photo voltaic array using MPPT (P&O) technique , 2010, 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES.

[9]  Neil Genzlinger.  A. and Q , 2006 .

[10]  Matthew W. Dunnigan,et al.  Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions , 2013, 2013 IEEE Conference on Clean Energy and Technology (CEAT).

[11]  Matthew W. Dunnigan,et al.  Dynamic particle swarm optimization algorithm based maximum power point tracking of solar photovoltaic panels , 2013, 2013 IEEE International Symposium on Industrial Electronics.

[12]  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.

[13]  Wang Kai-bao.  Design of Track Control System in PV , 2009 .

[14]  Fei Liu,et al.  Analysis and Improvement of Maximum Power Point Tracking Algorithm Based on Incremental Conductance Method for Photovoltaic Array , 2007, 2007 7th International Conference on Power Electronics and Drive Systems.

[15]  Gilbert M. Masters,et al.  Renewable and Efficient Electric Power Systems , 2004 .

[16]  Subhash Gupta,et al.  Maximum Power Point Tracking for Solar PV System , 2011 .

[17]  J. So,et al.  Improved perturbation and observation method (IP&O) of MPPT control for photovoltaic power systems , 2005, Conference Record of the Thirty-first IEEE Photovoltaic Specialists Conference, 2005..

[18]  Xiaobo Wu,et al.  Compensation Loop Design of a Photovoltaic System Based on Constant Voltage MPPT , 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.

[19]  Aleck W. Leedy,et al.  A constant voltage maximum power point tracking method for solar powered systems , 2011, 2011 IEEE 43rd Southeastern Symposium on System Theory.

[20]  Jung-Sik Choi,et al.  A Novel MPPT Control of photovoltaic system using FLC algorithm , 2011, 2011 11th International Conference on Control, Automation and Systems.

[21]  Wu Chun-Sheng,et al.  Study on automatic sun-tracking technology in PV generation , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[22]  C. Pozna,et al.  Different tracking strategies for optimizing the energetic efficiency of a photovoltaic system , 2008, 2008 IEEE International Conference on Automation, Quality and Testing, Robotics.

[23]  D. C. Huynh,et al.  Maximum power point tracking of solar photovoltaic panels using advanced perturbation and observation algorithm , 2013, 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA).

[24]  Weiping Luo.  A solar panels automatic tracking system based on OMRON PLC , 2009, 2009 7th Asian Control Conference.

[25]  R. Ramaprabha,et al.  Maximum power point tracking using GA-optimized artificial neural network for Solar PV system , 2011, 2011 1st International Conference on Electrical Energy Systems.

[26]  Md Ali Azam,et al.  Microcontroller based high precision PSO algorithm for maximum solar power tracking , 2012, 2012 International Conference on Informatics, Electronics & Vision (ICIEV).

[27]  Piazza Leonardo da Vinci,et al.  Energy comparison of MPPT techniques for PV Systems , 2008 .

[28]  Gilbert M. Masters,et al.  Renewable and Efficient Electric Power Systems: Masters/Electric Power Systems , 2004 .

[29]  N.A. Rahim,et al.  DSP-based maximum peak power tracker using P&O algorithm , 2011, 2011 IEEE Conference on Clean Energy and Technology (CET).

[30]  M. Jayaraju,et al.  Fuzzy logic based Maximum Power Point Tracker for a Photovoltaic system , 2012, 2012 International Conference on Power, Signals, Controls and Computation.

[31]  W. Marsden.  I and J , 2012 .