Efficient maximum power point tracking using model predictive control for photovoltaic systems under dynamic weather condition

This study presents a high-efficient maximum power point tracking (MPPT) of photovoltaic (PV) systems by means of model-predictive control (MPC) techniques that is applied to a high-gain DC-DC converter. The high variability and stochastic nature of solar energy requires that the MPPT control continuously adjust the power converter operating point in order to track the changing maximum power point; a concept well known in the literature. The main contribution of this study is a model-predictive-based controller with a fixed step that is combined with the traditional incremental conductance (INC) method. This technique improves the speed at which the controller can track rapid changes in solar insolation and results in an increase in the overall efficiency of the PV system. The controller speeds up convergence since MPC predicts error before the switching signal is applied to the high-gain multilevel DC-DC converter and thus is able to choose the next switch event to minimise error between the commanded and actual converter operation. Comparing the proposed technique to the conventional INC method shows substantial improvement in MPPT effectiveness and PV system performance. The performance of the proposed MPC-MPPT is analysed and validated experimentally.

[1]  Mostafa Mosa,et al.  Maximum power point tracking of grid connected photovoltaic system employing model predictive control , 2015, 2015 IEEE Applied Power Electronics Conference and Exposition (APEC).

[2]  Haitham Abu-Rub,et al.  Predictive current control of voltage-source inverters , 2004, IEEE Transactions on Industrial Electronics.

[3]  René P. Torrico-Bascope,et al.  Highly Efficient High Step-Up Converter for Fuel-Cell Power Processing Based on Three-State Commutation Cell , 2010, IEEE Transactions on Industrial Electronics.

[4]  A. K. Abdelsalam,et al.  Artificial neural network-based photovoltaic maximum power point tracking techniques: a survey , 2015 .

[5]  Dragan Maksimovic,et al.  Switching converters with wide DC conversion range , 1991 .

[6]  Dhaker Abbes,et al.  Eco-design optimisation of an autonomous hybrid wind–photovoltaic system with battery storage , 2012 .

[7]  Omar Abdel-Rahim,et al.  Modified maximum power point tracking technique based on fixed frequency model predictive control for PV applications , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[8]  Haitham Abu-Rub,et al.  Sensorless model predictive control scheme of wind-driven doubly fed induction generator in dc microgrid , 2016 .

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

[10]  David T. Westwick,et al.  Multiple model multiple-input multiple-output predictive control for variable speed variable pitch wind energy conversion systems , 2011 .

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

[12]  Roberto Sacile,et al.  Global energy management system for cooperative networked residential green buildings , 2016 .

[13]  P. T. Krein,et al.  Voltage-offset resistive control for DC-DC converters in photovoltaic applications , 2012, 2012 Twenty-Seventh Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[14]  Carlos Montero,et al.  Basic Principles of MPC for Power Converters: Bridging the Gap Between Theory and Practice , 2015, IEEE Industrial Electronics Magazine.

[15]  Mohd Amran Mohd Radzi,et al.  Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter , 2014 .

[16]  Julio C. Rosas-Caro,et al.  A DC-DC multilevel boost converter , 2010 .

[17]  Steve Ransome.  Worldwide photovoltaic energy yield sensitivity from a variety of input losses , 2015 .

[18]  A. Bidram,et al.  Control and Circuit Techniques to Mitigate Partial Shading Effects in Photovoltaic Arrays , 2012, IEEE Journal of Photovoltaics.

[19]  Wuhua Li,et al.  Review of Nonisolated High-Step-Up DC/DC Converters in Photovoltaic Grid-Connected Applications , 2011, IEEE Transactions on Industrial Electronics.

[20]  Shaojun Xie,et al.  Stable operating area of photovoltaic cells feeding DC–DC converter in output voltage regulation mode , 2015 .

[21]  Kinattingal Sundareswaran,et al.  Application of random search method for maximum power point tracking in partially shaded photovoltaic systems , 2014 .

[22]  Geoffrey R. Walker,et al.  Cascaded DC-DC converter connection of photovoltaic modules , 2004 .

[23]  Chih-Chiang Hua,et al.  Hybrid maximum power point tracking method with variable step size for photovoltaic systems , 2016 .

[24]  Reza Ahmadi,et al.  A new model predictive based Maximum Power Point Tracking method for photovoltaic applications , 2016, 2016 IEEE International Conference on Electro Information Technology (EIT).

[25]  David J. Atkinson,et al.  Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates , 2016 .

[26]  Bashar Zahawi,et al.  Comparison of Directly Connected and Constant Voltage Controlled Photovoltaic Pumping Systems , 2010, IEEE Transactions on Sustainable Energy.

[27]  Paolo Rapisarda,et al.  Modeling Approaches for DC–DC Converters With Switched Capacitors , 2015, IEEE Transactions on Industrial Electronics.

[28]  Mohamed Orabi,et al.  New converter circuitry for high v applications using Switched Inductor Multilevel Converter , 2011, 2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC).

[29]  Gehan A. J. Amaratunga,et al.  Single-sensor maximum power point tracking algorithms , 2013 .

[30]  Ned Mohan,et al.  Simulation of power electronic and motion control systems-an overview , 1994 .

[31]  Reza Ahmadi,et al.  Model Predictive-Based Maximum Power Point Tracking for Grid-Tied Photovoltaic Applications Using a Z-Source Inverter , 2016, IEEE Transactions on Power Electronics.

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

[33]  Luis Martinez-Salamero,et al.  Impedance Matching in Photovoltaic Systems Using Cascaded Boost Converters and Sliding-Mode Control , 2015, IEEE Transactions on Power Electronics.