A Fuzzy Logic MPPT Algorithm with a PI Controller for a Standalone PV System under Variable Weather and Load Conditions

This article proposes a standalone application for operating a photovoltaic module at the Maximum Power Point (MPP) under variable weather conditions and using a Fuzzy Logic Control (FLC) Maximum Power Point Tracking (MPPT) algorithm to increase the efficiency and lower the costs. The DC-DC converter provides a constant output voltage whatever the weather conditions and variable load thanks to the PI controller by local compensation of the disturbances. This system has been analyzed and implemented under the Matlab/Simulink environment. Simulation results under different weather conditions were observed. The MPPT algorithm based on FLC gives a precision between 95.5% and 99.5%. The parameters of the PI controller are calculated by the Ziegler-Nichols method. From the simulation results, we can see that the control by the PI controller effectively solves the instability of the system voltage, keeping the DC-DC converter voltage steady despite the varying weather and load conditions.

[1]  Yize Sun,et al.  An Enhanced MPPT Method Combining Fractional-Order and Fuzzy Logic Control , 2017, IEEE Journal of Photovoltaics.

[2]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.

[3]  Rong Ju,et al.  Voltage stability control method of electric springs based on adaptive PI controller , 2018 .

[4]  Yen-Shin Lai,et al.  New Digital-Controlled Technique for Battery Charger With Constant Current and Voltage Control Without Current Feedback , 2012, IEEE Transactions on Industrial Electronics.

[5]  Unal Yilmaz,et al.  PV system fuzzy logic MPPT method and PI control as a charge controller , 2018 .

[6]  Patrice Wira,et al.  Comparative study of the reliability of MPPT algorithms for the crystalline silicon photovoltaic modules in variable weather conditions , 2017 .

[7]  Rached Dhaouadi,et al.  Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control , 2012, IEEE Transactions on Industrial Informatics.

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

[9]  Gun-Woo Moon,et al.  Constant current charging in series-series compensated non-radiative wireless power link , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

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

[11]  Patrice Wira,et al.  ADALINE based maximum power point tracking methods for stand-alone PV systems control , 2018, 2018 IEEE International Conference on Industrial Technology (ICIT).

[12]  Efstratios I. Batzelis Simple PV Performance Equations Theoretically Well Founded on the Single-Diode Model , 2017, IEEE Journal of Photovoltaics.

[13]  M. A. Danandeh,et al.  Comparative and comprehensive review of maximum power point tracking methods for PV cells , 2018 .