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Comparison of Voltage Stability of Photovoltaic Power Source Dual Structure Flyback Converter with Fuzzy-Tuned PI and Fractional PID Type Controllers

Year 2020, , 443 - 465, 15.12.2020
https://doi.org/10.31466/kfbd.819578

Abstract

In this study, fuzzy-tuned PI and fractional PID based controllers and a dual structure flyback converter design are presented for the control of a photovoltaic solar energy generation system. Since the ambient temperature and solar radiation levels change in the photovoltaic solar energy system, the loads are affected by this variability. It has been shown that an effective voltage control can be achieved by using this new dual-flyback converter structure designed to meet the variable DC voltage requirement of the loads in the system. The design and control of the dual flyback converter was performed with the fuzzy-tuned PI and fractional PID controller, respectively. System efficiency and stability were compared under the influence of these two different types of controllers. The studies were carried out in MATLAB-SIMULINK environment to emphasize the theoretical consistency of system performance studies in stable and transient conditions.

References

  • Alfaro, V. M., & Vilanova, R. (2016). Model-reference robust tuning of PID controllers (p. 202). Berlin, Germany: Springer.
  • Bianchi, N., Bolognani, S., & Luise, F. (2006). High speed drive using a slotless PM motor. IEEE Transactions on Power Electronics, 21(4), 1083-1090.
  • Chen, G., Lee, Y. S., Hui, S. Y. R., Xu, D., & Wang, Y. (2000). Actively clamped bidirectional flyback converter. IEEE Transactions on Industrial Electronics, 47(4), 770-779.
  • Damiano, A., Gatto, G., Pisano, A., & Usai, E. (1999, July). Digital second order sliding mode control of PM DC motor. In ISIE'99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No. 99TH8465) (Vol. 1, pp. 322-326). IEEE.
  • Fathima, M. B., Princy, P. M. J., & RamPrasath, S. (2017, April). Mathematical modeling of SVPWM inverter fed 3 phase induction motor vector control in MATLAB/Simulink environment. In 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT) (pp. 1-8). IEEE.
  • Finney, S. J., Williams, B. W., & Green, A. T. C. (1996). RCD snubber revisited. IEEE Transactions on Industry Applications, 32(1), 155-160.
  • Guner, F., & Zenk, H. (2020). Experimental, Numerical and Application Analysis of Hydrokinetic Turbine Performance with Fixed Rotating Blades. Energies, 13(3), 766.
  • Kim, M. G., & Jung, Y. S. (2009). A novel soft-switching two-switch flyback converter with a wide operating range and regenerative clamping. Journal of Power Electronics, 9(5), 772-780.
  • Kiyak, E., & Gol, G. (2016). A comparison of fuzzy logic and PID controller for a single-axis solar tracking system. Renewables: Wind, Water, and Solar, 3(1), 7.
  • Lee, T. D., & Ebong, A. U. (2017). A review of thin film solar cell technologies and challenges. Renewable and Sustainable Energy Reviews, 70, 1286-1297.
  • Murthy-Bellur, D., & Kazimierczuk, M. K. (2011). Zero-current-transition two-switch flyback pulse-width modulated DC–DC converter. IET power electronics, 4(3), 288-295.
  • Pal, A. K., & Naskar, I. (2013). Design of self-tuning fuzzy PI controller in LabVIEW for control of a real time process. International Journal of Electronics and Computer Science Engineering, 2(2), 538-545.
  • Podlubny, I. (1998). Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications. Elsevier.
  • Praveen, J., & VijayaRamaraju, V. (2017). Materials for optimizing efficiencies of solar photovoltaic panels. Materials Today: Proceedings, 4(4), 5233-5238.
  • Qian, S., Ye, Y., Wu, H., & Zhuang, Z. (2016, August). Optimizing PWM switching sequence of inverters using an immune genetic algorithm. In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) (Vol. 1, pp. 7-10). IEEE.
  • Rasoanarivo, I., Arab-Tehrani, K., & Sargos, F. M. (2011, October). Fractional order PID and modulated hysteresis for high performance current control in multilevel inverters. In 2011 IEEE Industry Applications Society Annual Meeting (pp. 1-7). IEEE.
  • Rasoanarivo, I., & Sargos, F. M. (2013, October). Multi-objective analysis for designing and controlling micro-grids under multi-control with PID, MHCC and FOPID controllers. In 2013 IEEE Industry Applications Society Annual Meeting (pp. 1-8). IEEE.
  • Saygin, A., & Kerem, A. (2017, September). Fuzzy logic based control of a loaded asynchronous motor using a 6-switched 3-level inverter. In 2017 18th International Conference on Computational Problems of Electrical Engineering (CPEE) (pp. 1-4). IEEE.
  • Shah, P., & Agashe, S. (2016). Review of fractional PID controller. Mechatronics, 38, 29-41.
  • Soliman, H., Abdelsalam, I., Wang, H., & Blaabjerg, F. (2017, June). Artificial neural network based DC-link capacitance estimation in a diode-bridge front-end inverter system. In 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017-ECCE Asia) (pp. 196-201). IEEE.
  • Spiazzi, G., Mattavelli, P., & Costabeber, A. (2011). High step-up ratio flyback converter with active clamp and voltage multiplier. IEEE Transactions on Power Electronics, 26(11), 3205-3214.
  • Su, J., & Sun, D. (2017, August). Model predictive torque-vector control for four-switch three-phase inverter-fed PMSM with capacitor voltage offset suppression. In 2017 20th International Conference on Electrical Machines and Systems (ICEMS) (pp. 1-5). IEEE.
  • Şenol, H., & Zenk, H. (2020). Determination of the biogas potential in cities with hazelnut production and examination of potential energy savings in Turkey. Fuel, 270, 117577.
  • Tepljakov, A. (2017). FOMCON: fractional-order modeling and control toolbox. In Fractional-order Modeling and Control of Dynamic Systems (pp. 107-129). Springer, Cham.
  • Yang, L. S. (2018). Novel dual DC-DC flyback converter with leakage-energy recycling. Journal of Power Electronics, 18(4), 1007-1014.
  • Zenk, H., Zenk, O., & Akpinar, A. S. (2011). Two different power control system load-frequency analysis using fuzzy logic controller. In 2011 International Symposium on Innovations in Intelligent Systems and Applications (pp. 465-469). IEEE.
  • Zenk, H., & Akpinar, A. S. (2013). PI, PID and fuzzy logic controlled SSSC connected to a power transmission line, voltage control performance comparison. In 4th International Conference on Power Engineering, Energy and Electrical Drives (pp. 1493-1497). IEEE.
  • Zenk, H. (2016). A Comparative Application of Performance of the SEPIC Converter Using PI, PID and Fuzzy Logic Controllers for PMDC Motor Speed Analysis. Journal of Multidisciplinary Engineering Science Studies (JMESS), 2(12), 1226-1231.
  • Zenk, H. (2018a). Investigation of Energy Efficiency in Turkey. Annals of the Faculty of Engineering Hunedoara, 16(1), 93-96.
  • Zenk, H. (2018b). Low Cost Provides of the Energy Needs of Plateau Houses by Using Photovoltaic Systems. Turkish Journal of Agriculture-Food Science and Technology, 6(12), 1768-1774.
  • Zenk, H. (2018c). Comparison of Electrical Performances of Power Electronics Switches and an Effective Switch Selection Algorithm. Acta Physica Polonica A, 133(4), 897-901.
  • Zenk, H. (2019a). Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers. International Journal of Photoenergy, 2019.
  • Zenk, H. (2019b). Bulanık Ayarlı-PI denetleyicili Zeta Konvertörün Sürdüğü, Seri DC Motorunun Kalkınma Akımının Etkili Denetimi. Karadeniz Fen Bilimleri Dergisi, 9(1), 196-211.
  • Zenk, H., Şenol, H., & Güner, F. (2019). Lunar Excursion Module Landing Control System Design with P, PI and PID Controllers. Karadeniz Fen Bilimleri Dergisi, 9(2), 390-405.

Fotovoltaik Enerji Kaynaklı İkili Yapılı Flyback Dönüştürücünün Fuzzy-Tuned PI ve Fractional PID Tipi Denetleyicilerle Gerilim Kararlılığının Karşılaştırılması

Year 2020, , 443 - 465, 15.12.2020
https://doi.org/10.31466/kfbd.819578

Abstract

Bu çalışmada, fotovoltaik güneş enerjisi üretim sistemi tarafından kontrolü için Fuzzy-tuned PI ve Fractional PID tabanlı kontrolörler ile dual yapılı flyback dönüştürücü tasarımı sunulmuştur. Fotovoltaik güneş enerjisi sisteminde ortam sıcaklığı ve güneş radyasyonu seviyeleri değiştiğinden yükler bu değişkenlikten etkilenir. Sistemdeki yüklerin talep ettiği değişken DC gerilim ihtiyacını karşılamak için tasarlanan bu yeni dual flyback dönüştürücü yapısını kullanılarak etkin bir gerilim kontrolü yapıabileceği gösterilmiştir. Dual flyback dönüştürücünün tasarımı ve kontrolü sırasıyla Fuzzy-tuned PI ve Fraksiyonel PID denetleyicisi ile gerçekleştirildi. Sistem verimliliği ve kararlılığı, bu iki farklı kontrolör türünün etkisi altında karşılaştırıldı. Kararlı ve geçici durumlarda sistem performansı çalışmaların teorik tutarlılığını vurgulamak için çalışmalar MATLAB-SIMULINK ortamında gerçekleştirilmiştir.

References

  • Alfaro, V. M., & Vilanova, R. (2016). Model-reference robust tuning of PID controllers (p. 202). Berlin, Germany: Springer.
  • Bianchi, N., Bolognani, S., & Luise, F. (2006). High speed drive using a slotless PM motor. IEEE Transactions on Power Electronics, 21(4), 1083-1090.
  • Chen, G., Lee, Y. S., Hui, S. Y. R., Xu, D., & Wang, Y. (2000). Actively clamped bidirectional flyback converter. IEEE Transactions on Industrial Electronics, 47(4), 770-779.
  • Damiano, A., Gatto, G., Pisano, A., & Usai, E. (1999, July). Digital second order sliding mode control of PM DC motor. In ISIE'99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No. 99TH8465) (Vol. 1, pp. 322-326). IEEE.
  • Fathima, M. B., Princy, P. M. J., & RamPrasath, S. (2017, April). Mathematical modeling of SVPWM inverter fed 3 phase induction motor vector control in MATLAB/Simulink environment. In 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT) (pp. 1-8). IEEE.
  • Finney, S. J., Williams, B. W., & Green, A. T. C. (1996). RCD snubber revisited. IEEE Transactions on Industry Applications, 32(1), 155-160.
  • Guner, F., & Zenk, H. (2020). Experimental, Numerical and Application Analysis of Hydrokinetic Turbine Performance with Fixed Rotating Blades. Energies, 13(3), 766.
  • Kim, M. G., & Jung, Y. S. (2009). A novel soft-switching two-switch flyback converter with a wide operating range and regenerative clamping. Journal of Power Electronics, 9(5), 772-780.
  • Kiyak, E., & Gol, G. (2016). A comparison of fuzzy logic and PID controller for a single-axis solar tracking system. Renewables: Wind, Water, and Solar, 3(1), 7.
  • Lee, T. D., & Ebong, A. U. (2017). A review of thin film solar cell technologies and challenges. Renewable and Sustainable Energy Reviews, 70, 1286-1297.
  • Murthy-Bellur, D., & Kazimierczuk, M. K. (2011). Zero-current-transition two-switch flyback pulse-width modulated DC–DC converter. IET power electronics, 4(3), 288-295.
  • Pal, A. K., & Naskar, I. (2013). Design of self-tuning fuzzy PI controller in LabVIEW for control of a real time process. International Journal of Electronics and Computer Science Engineering, 2(2), 538-545.
  • Podlubny, I. (1998). Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications. Elsevier.
  • Praveen, J., & VijayaRamaraju, V. (2017). Materials for optimizing efficiencies of solar photovoltaic panels. Materials Today: Proceedings, 4(4), 5233-5238.
  • Qian, S., Ye, Y., Wu, H., & Zhuang, Z. (2016, August). Optimizing PWM switching sequence of inverters using an immune genetic algorithm. In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) (Vol. 1, pp. 7-10). IEEE.
  • Rasoanarivo, I., Arab-Tehrani, K., & Sargos, F. M. (2011, October). Fractional order PID and modulated hysteresis for high performance current control in multilevel inverters. In 2011 IEEE Industry Applications Society Annual Meeting (pp. 1-7). IEEE.
  • Rasoanarivo, I., & Sargos, F. M. (2013, October). Multi-objective analysis for designing and controlling micro-grids under multi-control with PID, MHCC and FOPID controllers. In 2013 IEEE Industry Applications Society Annual Meeting (pp. 1-8). IEEE.
  • Saygin, A., & Kerem, A. (2017, September). Fuzzy logic based control of a loaded asynchronous motor using a 6-switched 3-level inverter. In 2017 18th International Conference on Computational Problems of Electrical Engineering (CPEE) (pp. 1-4). IEEE.
  • Shah, P., & Agashe, S. (2016). Review of fractional PID controller. Mechatronics, 38, 29-41.
  • Soliman, H., Abdelsalam, I., Wang, H., & Blaabjerg, F. (2017, June). Artificial neural network based DC-link capacitance estimation in a diode-bridge front-end inverter system. In 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017-ECCE Asia) (pp. 196-201). IEEE.
  • Spiazzi, G., Mattavelli, P., & Costabeber, A. (2011). High step-up ratio flyback converter with active clamp and voltage multiplier. IEEE Transactions on Power Electronics, 26(11), 3205-3214.
  • Su, J., & Sun, D. (2017, August). Model predictive torque-vector control for four-switch three-phase inverter-fed PMSM with capacitor voltage offset suppression. In 2017 20th International Conference on Electrical Machines and Systems (ICEMS) (pp. 1-5). IEEE.
  • Şenol, H., & Zenk, H. (2020). Determination of the biogas potential in cities with hazelnut production and examination of potential energy savings in Turkey. Fuel, 270, 117577.
  • Tepljakov, A. (2017). FOMCON: fractional-order modeling and control toolbox. In Fractional-order Modeling and Control of Dynamic Systems (pp. 107-129). Springer, Cham.
  • Yang, L. S. (2018). Novel dual DC-DC flyback converter with leakage-energy recycling. Journal of Power Electronics, 18(4), 1007-1014.
  • Zenk, H., Zenk, O., & Akpinar, A. S. (2011). Two different power control system load-frequency analysis using fuzzy logic controller. In 2011 International Symposium on Innovations in Intelligent Systems and Applications (pp. 465-469). IEEE.
  • Zenk, H., & Akpinar, A. S. (2013). PI, PID and fuzzy logic controlled SSSC connected to a power transmission line, voltage control performance comparison. In 4th International Conference on Power Engineering, Energy and Electrical Drives (pp. 1493-1497). IEEE.
  • Zenk, H. (2016). A Comparative Application of Performance of the SEPIC Converter Using PI, PID and Fuzzy Logic Controllers for PMDC Motor Speed Analysis. Journal of Multidisciplinary Engineering Science Studies (JMESS), 2(12), 1226-1231.
  • Zenk, H. (2018a). Investigation of Energy Efficiency in Turkey. Annals of the Faculty of Engineering Hunedoara, 16(1), 93-96.
  • Zenk, H. (2018b). Low Cost Provides of the Energy Needs of Plateau Houses by Using Photovoltaic Systems. Turkish Journal of Agriculture-Food Science and Technology, 6(12), 1768-1774.
  • Zenk, H. (2018c). Comparison of Electrical Performances of Power Electronics Switches and an Effective Switch Selection Algorithm. Acta Physica Polonica A, 133(4), 897-901.
  • Zenk, H. (2019a). Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers. International Journal of Photoenergy, 2019.
  • Zenk, H. (2019b). Bulanık Ayarlı-PI denetleyicili Zeta Konvertörün Sürdüğü, Seri DC Motorunun Kalkınma Akımının Etkili Denetimi. Karadeniz Fen Bilimleri Dergisi, 9(1), 196-211.
  • Zenk, H., Şenol, H., & Güner, F. (2019). Lunar Excursion Module Landing Control System Design with P, PI and PID Controllers. Karadeniz Fen Bilimleri Dergisi, 9(2), 390-405.
There are 34 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Hilmi Zenk 0000-0002-1653-8580

Publication Date December 15, 2020
Published in Issue Year 2020

Cite

APA Zenk, H. (2020). Fotovoltaik Enerji Kaynaklı İkili Yapılı Flyback Dönüştürücünün Fuzzy-Tuned PI ve Fractional PID Tipi Denetleyicilerle Gerilim Kararlılığının Karşılaştırılması. Karadeniz Fen Bilimleri Dergisi, 10(2), 443-465. https://doi.org/10.31466/kfbd.819578