Araştırma Makalesi
BibTex RIS Kaynak Göster

Maximum Power Control and Optimization of Switched Reluctance Generators for Wind Turbines

Yıl 2023, Cilt: 14 Sayı: 1, 55 - 64, 23.03.2023
https://doi.org/10.24012/dumf.1232026

Öz

In this paper, a maximum power control and optimization of a 4-phase 8/6-pole Switched Reluctance Generator (SRG) are realized for a wind energy conversion system by using MATLAB/Simulink. Unlike conventional generators, using of the SRGs has increased in variable speed wind turbines due to important advantages such as lower copper losses, simple structure, flexible control, and a good performance in a wide speed range. However, since SRGs work with switching logic, their torque production is fluctuating and optimum turn-on/turn-off angles of the phases must be determined to work as a generator. Therefore, in this study, these angles are optimized based on the speed of the SRG and Maximum Power Point Tracking (MPPT) is realized. Besides, a voltage control is provided by keeping the DC bus voltage at the output of the system constant at the desired value with the help of a chopper controlled unloader. The results obtained from the optimized model for variable wind speed conditions are compared with that of the unoptimized model. It is observed that the SRGs can work more stable with a proper optimization method and the power obtained from the system follows the maximum output power.

Kaynakça

  • [1] “Global energy review,” International Energy Agency, 2021.
  • [2] A. Y. Anekunu, “Control of switched reluctance generator for wind energy applications,” International Journal of Advanced Engineering Research and Technology (IJAERT), vol. 3, pp. 290-295, 2015.
  • [3] N. Fernandes, R. Bindu, and S. George, “Control of switched reluctance generator in wind energy system,” in IEEE Online International Conference on Green Engineering and Technologies (IC-GET), Nov. 2016, pp. 1-7.
  • [4] M. Yildirim and H. Kurum, “Influence of poles embrace on in-wheel switched reluctance motor design,” in IEEE 18th International Power Electronics and Motion Control Conference (PEMC), August 2018, pp. 562-567.
  • [5] M. Yildirim, M. Polat, and H. Kurum, “A survey on comparison of electric motor types and drives used for electric vehicles,” in IEEE 16th International Power Electronics and Motion Control Conference and Exposition, Sept. 2014, pp. 218-223.
  • [6] H. Yahia, N. Liouane, and R. Dhifaoui, “Differential evolution method‐based output power optimisation of switched reluctance generator for wind turbine applications,” IET Renewable Power Generation, vol. 8, no. 7, pp. 795-806, 2014.
  • [7] T. A. Barros, P. J. Neto, S. N. Paulo Filho, A. B. Moreira, and E. Ruppert, “Approach for performance optimization of switched reluctance generator in variable-speed wind generation system,” Renewable Energy, vol. 97, pp. 114-128, 2016.
  • [8] N. H. Saad, A. A. El-Sattar, and M. E. Metall, “Artificial neural controller for torque ripple control and maximum power extraction for wind system driven by switched reluctance generator,” Ain Shams Engineering Journal, vol. 9, no. 4, pp. 2255-2264, 2018.
  • [9] Z. Omac and C. Cevahir, “Control of switched reluctance generator in wind power system application for variable speeds,” Ain Shams Engineering Journal, vol. 12, no. 3, pp. 2665-2672, 2021.
  • [10] D. W. Choi, S. I. Byun, and Y. H. Cho, “A study on the maximum power control method of switched reluctance generator for wind turbine,” IEEE Transactions on Magnetics, vol. 50, no. 1, pp. 1-4, 2013.
  • [11] T. A. dos Santos Barros, P. J. dos Santos Neto, P. S. Nascimento Filho, A. B. Moreira, and E. Ruppert Filho, “An approach for switched reluctance generator in a wind generation system with a wide range of operation speed,” IEEE Transactions on Power Electronics, vol. 32, no. 11, pp. 8277-8292, 2017.
  • [12] P. Asadi, M. Ehsani, and B. Fahimi, “Design and control characterization of switched reluctance generator for maximum output power,” in Twenty-First Annual IEEE Applied Power Electronics Conference and Exposition (APEC'06), March 2006, pp. 1639-1644.
  • [13] G. M. A. Dranca, M. M. Radulescu, and D. Petreus, “Design and control of a direct-driven three-phase switched reluctance generator for micro-wind power applications,” in IEEE 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE), March 2021, pp. 1-8.
  • [14] P. J. dos Santos Neto, T. A. dos Santos Barros, M. V. de Paula, R. R. de Souza, and E. Ruppert Filho, “Design of computational experiment for performance optimization of a switched reluctance generator in wind systems,” IEEE Transactions on Energy Conversion, vol. 33, no. 1, pp. 406-419, 2017.
  • [15] H. Chen, “Implementation of a three-phase switched reluctance generator system for wind power applications,” in IEEE 14th Symposium on Electromagnetic Launch Technology, June 2008, pp. 1-6.
  • [16] X. Deng, Y. Huo, Q. Wang, R. Zhao, H. Chen, X. Ma, and X. Wang, “Design of switched reluctance generator system for wind power maximization,” in IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW), February 2015, pp. 306-310.
  • [17] H. Hajiabadi, M. Farshad, and M. A. S. Nejad, “Maximum power extraction for switched reluctance generator wind turbine using optimal firing angles control,” in IEEE 2019 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG), June 2019, pp. 1-7.
  • [18] C. Mademlis and I. Kioskeridis, “Optimizing performance in current-controlled switched reluctance generators,” IEEE Transactions on Energy Conversion, vol. 20, no. 3, pp. 556-565, 2005.
  • [19] D. Susitra, E. Jebaseeli, E. Annie, and S. Paramasivam, “Switched reluctance generator-modeling, design, simulation, analysis and control a comprehensive review, International Journal of Computer Applications, vol. 1, no. 3, pp. 12-25, 2010.
  • [20] M. Heidarian and B. Ganji, “Design optimization of switched reluctance generator to maximize efficiency and gen-power ratio,” in IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), June 2017, pp. 1-5.
  • [21] F. P. Scalcon, G. Fang, C. J. Volpato Filho, H. A. Gründling, R. P. Vieira, and B. Nahid-Mobarakeh, “A review on switched reluctance generators in wind power applications: Fundamentals, control and future trends,” IEEE Access, vol. 10, pp. 69412-69427, 2022.
  • [22] A. Amissa and A. B. Ibrahim, “Switched reluctance generator for variable speed wind energy applications,” Smart Grid and Renewable Energy, vol. 2, no. 1, 2011.
  • [23] H. B. Perçin and A. Çalışkan, “Analysis of pitch angle Control in wind energy conversion systems with different control techniques,” in IEEE Innovations in Intelligent Systems and Applications Conference (ASYU), October 2021, pp. 1-6.

Maximum Power Control and Optimization of Switched Reluctance Generators for Wind Turbines

Yıl 2023, Cilt: 14 Sayı: 1, 55 - 64, 23.03.2023
https://doi.org/10.24012/dumf.1232026

Öz

In this paper, a maximum power control and optimization of a 4-phase 8/6-pole Switched Reluctance Generator (SRG) are realized for a wind energy conversion system by using Matlab/Simulink. Unlike conventional generators, using of the SRGs has increased in variable speed wind turbines due to important advantages such as lower copper losses, simple structure, flexible control, and a good performance in a wide speed range. However, since SRGs work with switching logic, their torque production is fluctuating and optimum turn-on/turn-off angles of the phases must be determined to work as a generator. Therefore, in this study, these angles are optimized based on the speed of the SRG and Maximum Power Point Tracking (MPPT) is realized. Besides, a voltage control is provided by keeping the DC bus voltage at the output of the system constant at the desired value with the help of a chopper controlled unloader. The results obtained from the optimized model for variable wind speed conditions are compared with that of the unoptimized model. It is observed that the SRGs can work more stable with a proper optimization method and the power obtained from the system follows the maximum output power.

Kaynakça

  • [1] “Global energy review,” International Energy Agency, 2021.
  • [2] A. Y. Anekunu, “Control of switched reluctance generator for wind energy applications,” International Journal of Advanced Engineering Research and Technology (IJAERT), vol. 3, pp. 290-295, 2015.
  • [3] N. Fernandes, R. Bindu, and S. George, “Control of switched reluctance generator in wind energy system,” in IEEE Online International Conference on Green Engineering and Technologies (IC-GET), Nov. 2016, pp. 1-7.
  • [4] M. Yildirim and H. Kurum, “Influence of poles embrace on in-wheel switched reluctance motor design,” in IEEE 18th International Power Electronics and Motion Control Conference (PEMC), August 2018, pp. 562-567.
  • [5] M. Yildirim, M. Polat, and H. Kurum, “A survey on comparison of electric motor types and drives used for electric vehicles,” in IEEE 16th International Power Electronics and Motion Control Conference and Exposition, Sept. 2014, pp. 218-223.
  • [6] H. Yahia, N. Liouane, and R. Dhifaoui, “Differential evolution method‐based output power optimisation of switched reluctance generator for wind turbine applications,” IET Renewable Power Generation, vol. 8, no. 7, pp. 795-806, 2014.
  • [7] T. A. Barros, P. J. Neto, S. N. Paulo Filho, A. B. Moreira, and E. Ruppert, “Approach for performance optimization of switched reluctance generator in variable-speed wind generation system,” Renewable Energy, vol. 97, pp. 114-128, 2016.
  • [8] N. H. Saad, A. A. El-Sattar, and M. E. Metall, “Artificial neural controller for torque ripple control and maximum power extraction for wind system driven by switched reluctance generator,” Ain Shams Engineering Journal, vol. 9, no. 4, pp. 2255-2264, 2018.
  • [9] Z. Omac and C. Cevahir, “Control of switched reluctance generator in wind power system application for variable speeds,” Ain Shams Engineering Journal, vol. 12, no. 3, pp. 2665-2672, 2021.
  • [10] D. W. Choi, S. I. Byun, and Y. H. Cho, “A study on the maximum power control method of switched reluctance generator for wind turbine,” IEEE Transactions on Magnetics, vol. 50, no. 1, pp. 1-4, 2013.
  • [11] T. A. dos Santos Barros, P. J. dos Santos Neto, P. S. Nascimento Filho, A. B. Moreira, and E. Ruppert Filho, “An approach for switched reluctance generator in a wind generation system with a wide range of operation speed,” IEEE Transactions on Power Electronics, vol. 32, no. 11, pp. 8277-8292, 2017.
  • [12] P. Asadi, M. Ehsani, and B. Fahimi, “Design and control characterization of switched reluctance generator for maximum output power,” in Twenty-First Annual IEEE Applied Power Electronics Conference and Exposition (APEC'06), March 2006, pp. 1639-1644.
  • [13] G. M. A. Dranca, M. M. Radulescu, and D. Petreus, “Design and control of a direct-driven three-phase switched reluctance generator for micro-wind power applications,” in IEEE 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE), March 2021, pp. 1-8.
  • [14] P. J. dos Santos Neto, T. A. dos Santos Barros, M. V. de Paula, R. R. de Souza, and E. Ruppert Filho, “Design of computational experiment for performance optimization of a switched reluctance generator in wind systems,” IEEE Transactions on Energy Conversion, vol. 33, no. 1, pp. 406-419, 2017.
  • [15] H. Chen, “Implementation of a three-phase switched reluctance generator system for wind power applications,” in IEEE 14th Symposium on Electromagnetic Launch Technology, June 2008, pp. 1-6.
  • [16] X. Deng, Y. Huo, Q. Wang, R. Zhao, H. Chen, X. Ma, and X. Wang, “Design of switched reluctance generator system for wind power maximization,” in IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW), February 2015, pp. 306-310.
  • [17] H. Hajiabadi, M. Farshad, and M. A. S. Nejad, “Maximum power extraction for switched reluctance generator wind turbine using optimal firing angles control,” in IEEE 2019 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG), June 2019, pp. 1-7.
  • [18] C. Mademlis and I. Kioskeridis, “Optimizing performance in current-controlled switched reluctance generators,” IEEE Transactions on Energy Conversion, vol. 20, no. 3, pp. 556-565, 2005.
  • [19] D. Susitra, E. Jebaseeli, E. Annie, and S. Paramasivam, “Switched reluctance generator-modeling, design, simulation, analysis and control a comprehensive review, International Journal of Computer Applications, vol. 1, no. 3, pp. 12-25, 2010.
  • [20] M. Heidarian and B. Ganji, “Design optimization of switched reluctance generator to maximize efficiency and gen-power ratio,” in IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), June 2017, pp. 1-5.
  • [21] F. P. Scalcon, G. Fang, C. J. Volpato Filho, H. A. Gründling, R. P. Vieira, and B. Nahid-Mobarakeh, “A review on switched reluctance generators in wind power applications: Fundamentals, control and future trends,” IEEE Access, vol. 10, pp. 69412-69427, 2022.
  • [22] A. Amissa and A. B. Ibrahim, “Switched reluctance generator for variable speed wind energy applications,” Smart Grid and Renewable Energy, vol. 2, no. 1, 2011.
  • [23] H. B. Perçin and A. Çalışkan, “Analysis of pitch angle Control in wind energy conversion systems with different control techniques,” in IEEE Innovations in Intelligent Systems and Applications Conference (ASYU), October 2021, pp. 1-6.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Gökhan Parla 0000-0002-1525-5108

Merve Yıldırım 0000-0003-1284-7324

Mehmet Özdemir 0000-0002-1178-060X

Erken Görünüm Tarihi 22 Mart 2023
Yayımlanma Tarihi 23 Mart 2023
Gönderilme Tarihi 10 Ocak 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 14 Sayı: 1

Kaynak Göster

IEEE G. Parla, M. Yıldırım, ve M. Özdemir, “Maximum Power Control and Optimization of Switched Reluctance Generators for Wind Turbines”, DÜMF MD, c. 14, sy. 1, ss. 55–64, 2023, doi: 10.24012/dumf.1232026.
DUJE tarafından yayınlanan tüm makaleler, Creative Commons Atıf 4.0 Uluslararası Lisansı ile lisanslanmıştır. Bu, orijinal eser ve kaynağın uygun şekilde belirtilmesi koşuluyla, herkesin eseri kopyalamasına, yeniden dağıtmasına, yeniden düzenlemesine, iletmesine ve uyarlamasına izin verir. 24456