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Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System

Year 2021, Volume: 8 Issue: 2, 949 - 959, 31.12.2021
https://doi.org/10.35193/bseufbd.940581

Abstract

In this study, a fuzzy logic based maximum power point tracking control algorithm was developed to obtain maximum power continuously from a simulation model of a PV system. Using this simulation model, codes suitable for the TMS320F28335 Digital Signal Processor (DSP) were generated by the embedded code generation method. In this way, the developed algorithm was generated, compiled, sent, and made ready for use in applications with an optimum code structure. The algorithm developed has the task of providing the power demanded by the load unit in a stable and continuous manner; It fulfills this task by providing maximum efficiency from PV panels by Tracking the Maximum Power Point and increasing the power obtained. In addition, the current and voltage of the DC bus as well as the PV panel unit are continuously monitored and used as input data for the algorithm's fuzzy logic controller.

References

  • OECD. (2021), Renewable energy (indicator). doi: 10.1787/aac7c3f1-en (Accessed on 15 March 2021)
  • Karafil, A., Ozbay, H, & Kesler, M. (2016). Temperature and solar radiation effects on photovoltaic panel power. Journal of New Results in Science, 5, 48-58.
  • Ryu, S. H., Kim, D. H., Kim, M. J., Kim, J. S., & Lee, B. K. (2014). Adjustable Frequency–Duty-Cycle Hybrid Control Strategy for Full-Bridge Series Resonant Converters in Electric Vehicle Chargers. Industrial Electronics, 61(10), 5354-5362.
  • Chuang, Y. C., Ke, Y. L., Chuang, H. S., & Chen, H. K. (2009). Implementation and analysis of an improved seriesloaded resonant DC-DC converter operating above resonance for battery chargers. Industry Applications, IEEE Transactions on, 45, (3), 1052-1059.
  • Chui, H. J., Lo, Y. K., Lee, T. P., Chen, Q. S., Yu, W. L., Lee, J. X., & Mou, S. C. (2011). A battery charger with maximum power point tracking function for lowpower photovoltaic system applications. International Journal of Circuit Theory and Applications, 39(3), 241-256.
  • Hseih, H. I., Shih, S. F., Hseih, J. H., & Hsieh, G. C. (2012). A study of high-frequency photovoltaic pulse charger for lead-acid battery guided by PI-INC MPPT. Renewable Energy Research and Applications (ICRERA), International Conference on. IEEE, 1-6.
  • Ozbay H. (2020). Rezonans Dönüştürücülü Fotovoltaik Batarya Şarj Sistemi. Journal of Engineering Sciences and Researches, 2(1), 11-20.
  • Esram, T., & Chapman, P. L. (2007). Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion EC, 22(2), 439.
  • Zou, X., Tang, A., Liu R., & Wang, Y. (2021). Research on MPPT Algorithm Based on Variable Step Size Conductance Increment + PI Method. IEEE 5th Advanced Information Technology. Electronic and Automation Control Conference (IAEAC). 829-833.
  • Kabalci, E., Gokkus, G. & Gorgun, A. (2015). Design and implementation of a PI-MPPT based Buck-Boost converter. 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). 23-28.
  • Khaled, A., Aboubakeur, H., Mohamed B., & Nabil, A. (2018). A Fast MPPT Control Technique Using PID Controller in a Photovoltaic System. 2018 International Conference on Applied Smart Systems (ICASS), Medea, Algeria. 1-5.
  • Bhattacharyya, S., Kumar, P. D. S., Samanta, S., & Mishra, S. (2021). Steady Output and Fast Tracking MPPT (SOFT-MPPT) for P&O and InC Algorithms, in IEEE Transactions on Sustainable Energy, 12(1). 293-302.
  • Sher, H. A., Murtaza, A. F., Noman, A., Addoweesh, K. E., Al-Haddad, K., & Chiaberge, M. (2015). A New Sensorless Hybrid MPPT Algorithm Based on Fractional Short-Circuit Current Measurement and P&O MPPT. in IEEE Transactions on Sustainable Energy, 6(4), 1426-1434.
  • Ali A., et al., (2020). Investigation of MPPT Techniques Under Uniform and Non-Uniform Solar Irradiation Condition–A Retrospection. in IEEE Access, 8. 127368-127392.
  • Al Nabulsi, A., & Dhaouadi, R. (2012). Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control. in IEEE Transactions on Industrial Informatics, 8(3), 573-584.
  • Abbes, H., Loukil, K., Abid, H., Abid, M., & Toumi, A. (2015). Implementation of a Maximum Power Point Tracking fuzzy controller on FPGA circuit for a photovoltaic system. 15th International Conference on Intelligent Systems Design and Applications (ISDA). 386-391.
  • Rezk, H., Aly, M., Al-Dhaifallah, M., & Shoyama, M. (2019). Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications. in IEEE Access, 7, 106427-106438.
  • Rashid, M. (1993). Power Electronics Circuits, Devices And Applications. Prentice Hall (Second Edition),.
  • Ying, H. (2000). Mamdani Fuzzy PID Controllers. in Fuzzy Control and Modeling: Analytical Foundations and Applications, IEEE. 41-8.

Fotovoltaik Bir Sistemde, Maksimum Güç Noktası Takibi için Bulanık Mantık Tabanlı Bir Denetleme Algoritmasının Geliştirilmesi

Year 2021, Volume: 8 Issue: 2, 949 - 959, 31.12.2021
https://doi.org/10.35193/bseufbd.940581

Abstract

Bu çalışmada, oluşturulan benzetim modeli kullanılarak, bir PV sisteminden maksimum güç elde etmek için bulanık mantık tabanlı bir maksimum güç noktası takibi denetleme algoritması geliştirilmiştir. Bu benzetim modeli kullanılarak, gömülü kod üretimiy öntemi ile TMS320F28335 Dijital Sinyal İşlemcisi için uygun kodlar oluşturulmuştur. Böylelikle geliştirilen algoritma kodları derlenmiş, işlemciye gönderilmiş ve optimum kod yapısı ile uygulamalarda kullanıma hazır hale getirilmiştir. Geliştirilen algoritma, yük biriminin talep ettiği gücü kararlı ve sürekli bir şekilde sağlama görevini; Maksimum Güç Noktası Takibi yaparak PV panellerinden azami verim sağlanması ile yerine getirmektedir. Ayrıca, DC bara ve PV panel ünitesinin akım ve gerilim verileri sürekli olarak izlenmekte ve algoritmanın bulanık mantık denetleyicisinin girişleri olarak değerlendirilmektedir.

References

  • OECD. (2021), Renewable energy (indicator). doi: 10.1787/aac7c3f1-en (Accessed on 15 March 2021)
  • Karafil, A., Ozbay, H, & Kesler, M. (2016). Temperature and solar radiation effects on photovoltaic panel power. Journal of New Results in Science, 5, 48-58.
  • Ryu, S. H., Kim, D. H., Kim, M. J., Kim, J. S., & Lee, B. K. (2014). Adjustable Frequency–Duty-Cycle Hybrid Control Strategy for Full-Bridge Series Resonant Converters in Electric Vehicle Chargers. Industrial Electronics, 61(10), 5354-5362.
  • Chuang, Y. C., Ke, Y. L., Chuang, H. S., & Chen, H. K. (2009). Implementation and analysis of an improved seriesloaded resonant DC-DC converter operating above resonance for battery chargers. Industry Applications, IEEE Transactions on, 45, (3), 1052-1059.
  • Chui, H. J., Lo, Y. K., Lee, T. P., Chen, Q. S., Yu, W. L., Lee, J. X., & Mou, S. C. (2011). A battery charger with maximum power point tracking function for lowpower photovoltaic system applications. International Journal of Circuit Theory and Applications, 39(3), 241-256.
  • Hseih, H. I., Shih, S. F., Hseih, J. H., & Hsieh, G. C. (2012). A study of high-frequency photovoltaic pulse charger for lead-acid battery guided by PI-INC MPPT. Renewable Energy Research and Applications (ICRERA), International Conference on. IEEE, 1-6.
  • Ozbay H. (2020). Rezonans Dönüştürücülü Fotovoltaik Batarya Şarj Sistemi. Journal of Engineering Sciences and Researches, 2(1), 11-20.
  • Esram, T., & Chapman, P. L. (2007). Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion EC, 22(2), 439.
  • Zou, X., Tang, A., Liu R., & Wang, Y. (2021). Research on MPPT Algorithm Based on Variable Step Size Conductance Increment + PI Method. IEEE 5th Advanced Information Technology. Electronic and Automation Control Conference (IAEAC). 829-833.
  • Kabalci, E., Gokkus, G. & Gorgun, A. (2015). Design and implementation of a PI-MPPT based Buck-Boost converter. 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). 23-28.
  • Khaled, A., Aboubakeur, H., Mohamed B., & Nabil, A. (2018). A Fast MPPT Control Technique Using PID Controller in a Photovoltaic System. 2018 International Conference on Applied Smart Systems (ICASS), Medea, Algeria. 1-5.
  • Bhattacharyya, S., Kumar, P. D. S., Samanta, S., & Mishra, S. (2021). Steady Output and Fast Tracking MPPT (SOFT-MPPT) for P&O and InC Algorithms, in IEEE Transactions on Sustainable Energy, 12(1). 293-302.
  • Sher, H. A., Murtaza, A. F., Noman, A., Addoweesh, K. E., Al-Haddad, K., & Chiaberge, M. (2015). A New Sensorless Hybrid MPPT Algorithm Based on Fractional Short-Circuit Current Measurement and P&O MPPT. in IEEE Transactions on Sustainable Energy, 6(4), 1426-1434.
  • Ali A., et al., (2020). Investigation of MPPT Techniques Under Uniform and Non-Uniform Solar Irradiation Condition–A Retrospection. in IEEE Access, 8. 127368-127392.
  • Al Nabulsi, A., & Dhaouadi, R. (2012). Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control. in IEEE Transactions on Industrial Informatics, 8(3), 573-584.
  • Abbes, H., Loukil, K., Abid, H., Abid, M., & Toumi, A. (2015). Implementation of a Maximum Power Point Tracking fuzzy controller on FPGA circuit for a photovoltaic system. 15th International Conference on Intelligent Systems Design and Applications (ISDA). 386-391.
  • Rezk, H., Aly, M., Al-Dhaifallah, M., & Shoyama, M. (2019). Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications. in IEEE Access, 7, 106427-106438.
  • Rashid, M. (1993). Power Electronics Circuits, Devices And Applications. Prentice Hall (Second Edition),.
  • Ying, H. (2000). Mamdani Fuzzy PID Controllers. in Fuzzy Control and Modeling: Analytical Foundations and Applications, IEEE. 41-8.
There are 19 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Cem Morkoç 0000-0002-1688-5259

Uğur Yüzgeç 0000-0002-5364-6265

Publication Date December 31, 2021
Submission Date May 21, 2021
Acceptance Date October 27, 2021
Published in Issue Year 2021 Volume: 8 Issue: 2

Cite

APA Morkoç, C., & Yüzgeç, U. (2021). Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 8(2), 949-959. https://doi.org/10.35193/bseufbd.940581