Design and implementation of reconfigurable MPPT fuzzy controller for photovoltaic systems

Abstract Since, photovoltaic (PV) systems are currently very expensive, many scientific studies are being conducted to maximize the power such systems deliver. The best solution suggested so far consists of integrating the Maximum Power Point Tracking (MPPT) with the PV power systems. The present paper proposes to use the fuzzy logic technique in the actual implementation of the MPPT controller. The system includes a photovoltaic panel, a boost converter and an fuzzy logic controller. This system is designed, executed and tested under variable environmental constraints and using several technologies. A comparison between these different technologies is made. The findings of the experiments demonstrate an efficient operation of the FPGA-based PV system.

[1]  Annette Evans,et al.  Assessment of sustainability indicators for renewable energy technologies , 2009 .

[2]  S. Mekhilef,et al.  Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems Under Partial Shading Conditions and Load Variation , 2018, IEEE Transactions on Industrial Informatics.

[3]  Mohamed Abid,et al.  Etude comparative de cinq algorithmes de commande MPPT pour un système photovoltaïque , 2014 .

[4]  Mohamed Abid,et al.  Self-Adaptive On-Chip System Based on Cross-Layer Adaptation Approach , 2013, Int. J. Reconfigurable Comput..

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

[6]  Zhe Zhou,et al.  An Improved Multistage Variable-Step MPPT Algorithm for Photovoltaic System , 2013 .

[7]  Rupendra Kumar Pachauri,et al.  Comparative Study of MPPT Methods for Solar PV Driven Induction Motor Load , 2015 .

[8]  Mohamed Abid,et al.  Implementation of a Maximum Power Point Tracking fuzzy controller on FPGA circuit for a photovoltaic system , 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

[9]  Mostafa Mjahed,et al.  A Comprehensive Comparison of Two Behavior MPPT Techniques, the Conventional (Incremental Conductance (INC)) and Intelligent (Fuzzy Logic Controller (FLC)) for Photovoltaic Systems , 2019 .

[10]  Saad Mekhilef,et al.  New ARMO-based MPPT Technique to Minimize Tracking Time and Fluctuation at Output of PV Systems under Rapidly Changing Shading Conditions , 2019, IEEE Transactions on Industrial Informatics.

[11]  A. Chermitti,et al.  Design of a Library of Components for Autonomous Photovoltaic System under Matlab/Simulink , 2014 .

[12]  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.

[13]  Antonino Laudani,et al.  Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants , 2017, IEEE Transactions on Industrial Informatics.

[14]  Eklas Hossain,et al.  A Novel Modified Sine-Cosine Optimized MPPT Algorithm for Grid Integrated PV System under Real Operating Conditions , 2019, IEEE Access.

[15]  L. E. Amraoui,et al.  Application of System Modeling and Simulation of the Photovoltaic Production , 2017 .

[16]  Ahmad Saudi Samosir,et al.  MODELING AND SIMULATION BASED APPROACH OF PHOTOVOLTAIC SYSTEM IN SIMULINK MODEL , 2012 .

[17]  Adel El-Shahat,et al.  A Novel MPPT Algorithm Based on Particle Swarm Optimization for Photovoltaic Systems , 2017, IEEE Transactions on Sustainable Energy.

[18]  Sanjeevikumar Padmanaban,et al.  An Extensive Practical Investigation of FPSO-Based MPPT for Grid Integrated PV System Under Variable Operating Conditions With Anti-Islanding Protection , 2019, IEEE Systems Journal.

[19]  Li Zhijun,et al.  Energy Performance and Cost Comparison of MPPT Techniques for Photovoltaics and other Applications , 2017 .

[20]  Abhishek Kumar Gupta,et al.  Review on widely-used MPPT techniques for PV applications , 2016, 2016 International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH).

[21]  Nader Ben Amor,et al.  A timing constraints control technique for embedded real time systems , 2010, 5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era.

[22]  Eric Monmasson,et al.  FPGA-Based Implementation of Dual Kalman Filter for PV MPPT Applications , 2017, IEEE Transactions on Industrial Informatics.

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

[24]  Tey Kok Soon,et al.  A Fast-Converging MPPT Technique for Photovoltaic System Under Fast-Varying Solar Irradiation and Load Resistance , 2015, IEEE Transactions on Industrial Informatics.

[25]  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.

[26]  Eklas Hossain,et al.  A Hybrid Photovoltaic-Fuel Cell for Grid Integration With Jaya-Based Maximum Power Point Tracking: Experimental Performance Evaluation , 2019, IEEE Access.