Research Article
BibTex RIS Cite

PV Sistemler için Kayan Kipli ve Bulanık Mantık MPPT Tekniklerinin Karşılaştırılması

Year 2020, Volume: 16 Issue: 1, 26 - 35, 30.06.2020

Abstract

Bu çalışmada, fotovoltaik sistemlerde (PV) maksimum güç noktasının takibi (MPPT) için kayan kipli denetleyici (SMC) ve Bulanık mantık denetleyici (FLC) tekniklerinin simülasyon çalışmaları ile karşılaştırılması gerçekleştirilmiştir. Çalışmada farklı iklim koşulları için simülasyon çalışmaları yapılarak her iki MPPT algoritması için sağlamlık testi yapılmıştır. Her iki algoritmada da PV panellerden maksimum güç aktarımı gerçekleştirilmiştir. Fakat SMC algoritmalı sistemin FLC algoritmalı sisteme göre maksimum güç noktasını daha hızlı yakalamış ve daha yüksek verimle takip etmiştir. Yapılan simülasyon çalışmaları PSIM programı ile yapılmış ve önerilen sistemlerin performansını değerlendirmek için sonuçlar sunulmuştur.

Supporting Institution

-

Project Number

-

Thanks

-

References

  • [1] Düz, H., “Storing solar energy inside compressed air through a heat machine mechanism”, Gazi University Journal of Science, 29(2):245-251, 2016. [2] Wenham, S. R., “Applied Photovoltaics”, Routledge, London, 29-39, 2012. [3] Özbay, H., et al. “Farklı Eğim Açılarındaki Fotovoltaik Panellerin Elektriksel Ölçümlerinin Raspberry Pi ile İzlenmesi”, Düzce Üniversitesi Bilim ve Teknoloji Dergisi 4.2, 2016. [4] Oncu, S., and Karafil, A., “Pulse density modulation controlled converter for PV systems”, International Journal of Hydrogen Energy 42.28, 17823-17830, 2017. [5] Castro, L. M., et al. “Modelling of PV systems as distributed energy resources for steady-state power flow studies”, International Journal of Electrical Power & Energy Systems, 115, 105505, 2020. [6] Leva S., Zaninelli D., and Contino R. “Integrated Renewable Sources for Supplying Remote Power Systems”, WSEAS Transactions on Power Systems, 2(2):41–48, 2007. [7] Villalva M.G., Gazoli J.R. and Filho E.R., ‟Comprehensive approach to modeling and simulation of photovoltaic Array”, IEEE Trans on Power Electronics, 24(5):1198-1208, 2009. [8] Chekired, F., et al. “Implementation of a MPPT fuzzy controller for photovoltaic systems on FPGA circuit”, Energy Procedia, 6:541-549, 2011. [9] Özbay, H., Öncü, S., and Kesler, M. “SMC-DPC based active and reactive power control of grid-tied three phase inverter for PV systems”, International Journal of Hydrogen Energy, 42, 28, 17713-17722, 2017. [10] Sundaram, B. M., et al. “Combination of novel converter topology and improved MPPT algorithm for harnessing maximum power from grid connected solar PV systems”, Journal of Electrical Engineering & Technology 14.2, 733-746, 2019. [11] Heydari, M., Khoramikia, H., & Fatemi, A. “High-voltage gain SEPIC-based DC–DC converter without coupled inductor for PV systems”, IET Power Electronics, 12(8), 2118-2127, 2019. [12] Kazimierczuk, M. K., “Pulse-width modulated DC-DC power converters”, John Wiley & Sons, Chichester, 22-145, 2015. [13] Onat, N., “Recent developments in maximum power point tracking technologies for photovoltaic systems”, International Journal of Photoenergy, 1-11, 2010. [14] Rezk, Hegazy, et al. “Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications”, IEEE Access 7 106427-106438, 2019. [15] Refaat, Mohamed M., et al. “Adaptive Fuzzy Logic Controller as MPPT Optimization Technique Applied to Grid-Connected PV Systems”, Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer, Cham, 247-281, 2020. [16] Shirazi, M. K., Joorabian M., and Sadeghi A.. “Intelligent P&O MPPT Algorithm in PV Stand Alone for Faster Transient Response”, International Journal of Energy Engineering, 5(4):74-79, 2015. [17] Ross, Timothy J. “Fuzzy logic with engineering applications”, 3th Edition, John Wiley & Sons, 2010. [18] Orozco, M. A., Vázquez, J. R., Salmerón, P., and Pérez, A., “A sliding maximum power point tracker for a photovoltaic system”, Universidad de Huelvan, Spain, 1-6, 2009. [19] Abderrahim, T., Abdelwahed, T., & Radouane, M., “Improved strategy of an MPPT based on the sliding mode control for a PV system”, International Journal of Electrical and Computer Engineering, 10(3), 3074, 2020. [20] Tafticht, T., Agbossou, K., Doumbia, M. L., and Cheriti, A., “An improved maximum power point tracking method for photovoltaic systems”, Renewable energy, 33 (7): 1508-1516, 2008.

Comparison of Sliding Mode and Fuzzy Logic MPPT Techniques for PV Systems

Year 2020, Volume: 16 Issue: 1, 26 - 35, 30.06.2020

Abstract

In this study, the comparison of the sliding mode controller and Fuzzy logic controller techniques with the simulation studies has been performed for the monitoring of the maximum power point in photovoltaic systems. In the study, simulation studies were carried out for different climatic conditions and robustness tests were performed for both MPPT algorithms. Maximum power transfer from PV panels is realized in both algorithms. However, the SMC algorithm captured the maximum power point faster than the FLC algorithm system and followed it with higher efficiency. The simulation studies were carried out with the PSIM program and results were presented to evaluate the performance of the proposed systems.

Project Number

-

References

  • [1] Düz, H., “Storing solar energy inside compressed air through a heat machine mechanism”, Gazi University Journal of Science, 29(2):245-251, 2016. [2] Wenham, S. R., “Applied Photovoltaics”, Routledge, London, 29-39, 2012. [3] Özbay, H., et al. “Farklı Eğim Açılarındaki Fotovoltaik Panellerin Elektriksel Ölçümlerinin Raspberry Pi ile İzlenmesi”, Düzce Üniversitesi Bilim ve Teknoloji Dergisi 4.2, 2016. [4] Oncu, S., and Karafil, A., “Pulse density modulation controlled converter for PV systems”, International Journal of Hydrogen Energy 42.28, 17823-17830, 2017. [5] Castro, L. M., et al. “Modelling of PV systems as distributed energy resources for steady-state power flow studies”, International Journal of Electrical Power & Energy Systems, 115, 105505, 2020. [6] Leva S., Zaninelli D., and Contino R. “Integrated Renewable Sources for Supplying Remote Power Systems”, WSEAS Transactions on Power Systems, 2(2):41–48, 2007. [7] Villalva M.G., Gazoli J.R. and Filho E.R., ‟Comprehensive approach to modeling and simulation of photovoltaic Array”, IEEE Trans on Power Electronics, 24(5):1198-1208, 2009. [8] Chekired, F., et al. “Implementation of a MPPT fuzzy controller for photovoltaic systems on FPGA circuit”, Energy Procedia, 6:541-549, 2011. [9] Özbay, H., Öncü, S., and Kesler, M. “SMC-DPC based active and reactive power control of grid-tied three phase inverter for PV systems”, International Journal of Hydrogen Energy, 42, 28, 17713-17722, 2017. [10] Sundaram, B. M., et al. “Combination of novel converter topology and improved MPPT algorithm for harnessing maximum power from grid connected solar PV systems”, Journal of Electrical Engineering & Technology 14.2, 733-746, 2019. [11] Heydari, M., Khoramikia, H., & Fatemi, A. “High-voltage gain SEPIC-based DC–DC converter without coupled inductor for PV systems”, IET Power Electronics, 12(8), 2118-2127, 2019. [12] Kazimierczuk, M. K., “Pulse-width modulated DC-DC power converters”, John Wiley & Sons, Chichester, 22-145, 2015. [13] Onat, N., “Recent developments in maximum power point tracking technologies for photovoltaic systems”, International Journal of Photoenergy, 1-11, 2010. [14] Rezk, Hegazy, et al. “Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications”, IEEE Access 7 106427-106438, 2019. [15] Refaat, Mohamed M., et al. “Adaptive Fuzzy Logic Controller as MPPT Optimization Technique Applied to Grid-Connected PV Systems”, Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer, Cham, 247-281, 2020. [16] Shirazi, M. K., Joorabian M., and Sadeghi A.. “Intelligent P&O MPPT Algorithm in PV Stand Alone for Faster Transient Response”, International Journal of Energy Engineering, 5(4):74-79, 2015. [17] Ross, Timothy J. “Fuzzy logic with engineering applications”, 3th Edition, John Wiley & Sons, 2010. [18] Orozco, M. A., Vázquez, J. R., Salmerón, P., and Pérez, A., “A sliding maximum power point tracker for a photovoltaic system”, Universidad de Huelvan, Spain, 1-6, 2009. [19] Abderrahim, T., Abdelwahed, T., & Radouane, M., “Improved strategy of an MPPT based on the sliding mode control for a PV system”, International Journal of Electrical and Computer Engineering, 10(3), 3074, 2020. [20] Tafticht, T., Agbossou, K., Doumbia, M. L., and Cheriti, A., “An improved maximum power point tracking method for photovoltaic systems”, Renewable energy, 33 (7): 1508-1516, 2008.
There are 1 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Harun Özbay 0000-0003-1068-244X

Project Number -
Publication Date June 30, 2020
Submission Date March 15, 2020
Published in Issue Year 2020 Volume: 16 Issue: 1

Cite

APA Özbay, H. (2020). PV Sistemler için Kayan Kipli ve Bulanık Mantık MPPT Tekniklerinin Karşılaştırılması. Electronic Letters on Science and Engineering, 16(1), 26-35.