Nonlinear maximum power point tracking controller for photovoltaic system

This paper proposes a nonlinear maximum power point tracking (MPPT) controller for photovoltaic (PV) systems. The proposed MPPT technique is designed in conjunction with a Z-source dc-dc converter as an interface between the PV array and the load. To improve the system performance in transient regime as well as steady-state condition in both tracking and regulation, a nonlinear MPPT controller is designed. The scheme of the proposed nonlinear MPPT controller consists of the design of a nonlinear MPPT algorithm and a nonlinear controller for the duty cycle generation. The effectiveness of the proposed method is investigated via MATLAB simulation. In addition, the results are compared with the conventional perturb and observe (P&O) method. The simulation results highlight advantages of the proposed technique over the conventional P&O method in terms of an improved response in the transient state, an accurate tracking of the MPP as well as a significant reduction in oscillations around the maximum power point (MPP).

[1]  Kashif Ishaque,et al.  Maximum Power Point Tracking for PV system under partial shading condition via particle swarm optimization , 2011, 2011 IEEE Applied Power Electronics Colloquium (IAPEC).

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

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

[5]  B. Zahawi,et al.  Assessment of the Incremental Conductance Maximum Power Point Tracking Algorithm , 2013, IEEE Transactions on Sustainable Energy.

[6]  Syafaruddin,et al.  A novel Maximum Power Point tracking control of photovoltaic system under partial and rapidly fluctuating shadow conditions using Differential Evolution , 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).

[7]  Soteris A. Kalogirou,et al.  Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation , 2011 .

[8]  Shamsodin Taheri,et al.  Modified Maximum Power Point tracking (MPPT) of grid-connected PV system under partial shading conditions , 2012, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

[9]  Kostas Kalaitzakis,et al.  Development of a microcontroller-based, photovoltaic maximum power point tracking control system , 2001 .

[10]  Fang Zheng Peng Z-source inverter , 2002 .

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

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