Araştırma Makalesi

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

Cilt: 8 Sayı: 2 31 Aralık 2021
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Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. OECD. (2021), Renewable energy (indicator). doi: 10.1787/aac7c3f1-en (Accessed on 15 March 2021)
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Ozbay H. (2020). Rezonans Dönüştürücülü Fotovoltaik Batarya Şarj Sistemi. Journal of Engineering Sciences and Researches, 2(1), 11-20.
  8. Esram, T., & Chapman, P. L. (2007). Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion EC, 22(2), 439.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Aralık 2021

Gönderilme Tarihi

21 Mayıs 2021

Kabul Tarihi

27 Ekim 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 8 Sayı: 2

Kaynak Göster

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
AMA
1.Morkoç C, Yüzgeç U. Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 2021;8(2):949-959. doi:10.35193/bseufbd.940581
Chicago
Morkoç, Cem, ve Uğur Yüzgeç. 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): 949-59. https://doi.org/10.35193/bseufbd.940581.
EndNote
Morkoç C, Yüzgeç U (01 Aralık 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.
IEEE
[1]C. Morkoç ve U. Yüzgeç, “Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System”, Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, c. 8, sy 2, ss. 949–959, Ara. 2021, doi: 10.35193/bseufbd.940581.
ISNAD
Morkoç, Cem - Yüzgeç, Uğur. “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 (01 Aralık 2021): 949-959. https://doi.org/10.35193/bseufbd.940581.
JAMA
1.Morkoç C, Yüzgeç U. Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 2021;8:949–959.
MLA
Morkoç, Cem, ve Uğur Yüzgeç. “Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System”. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, c. 8, sy 2, Aralık 2021, ss. 949-5, doi:10.35193/bseufbd.940581.
Vancouver
1.Cem Morkoç, Uğur Yüzgeç. Development of a Fuzzy Logic Based Control Algorithm for Maximum Power Point Tracking in a Photovoltaic System. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 01 Aralık 2021;8(2):949-5. doi:10.35193/bseufbd.940581