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DESIGN IMPROVEMENT OF A 2 MVA SYNCHRONOUS MACHINE BY USING PARTICLE SWARM OPTIMIZATION

Year 2022, Volume: 7 Issue: 1-2, 27 - 35, 27.12.2022
https://doi.org/10.55088/ijesg.1182662

Abstract

In this article; The step-by-step design of a 3-phase salient synchronous generator and
efficiency optimization with particle swarm optimization technique are investigated. Unlike other studies in the literature, a system has been studied to minimize mathematical equation errors by using specific loading parameters that simplify the design process. It has been tried to obtain a program structure that minimizes programming problems by minimizing the number of variables used in the design. With the optimization of the specific loading parameters, the effects on the machine volume, cost and efficiency were examined.

References

  • Yuan,T., Yang, N., Zhang, W., Cao, W., Xing, N., Tan, Z., Li, G. “Improved synchronous machine rotor design for the easy assembly of excitation coils based on surrogate optimization”, Energies, 11(5), 1311, 2018.
  • Varan, M., Oylek, I., Dereli, S., “Üç fazlı senkron bir makinenin değişken yük durumları için geçici hal sonlu eleman analizi”, Gaziosmanpaşa Bilimsel Araştırma Dergisi, 6(özel sayı (ısmsıt2017)), 59-72, 2017.
  • Upadhyay, K. G., Design of Electrical Machines, New Age International, 2011.
  • Mandić, I., Pužar, M., Petrinić, M., “Optimization of large electrical salient pole synchronous generators”, COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 20(3), 813-827, 2001.
  • Shiyou, Y., Guangzheng, N., Yan, L., Renyuan, T., “Shape optimization of pole shoes in harmonic exciting synchronous generators using a stochastic algorithm”, IEEE Transactions on Magnetics, 33(2), 1920-1923, 1997.
  • Oo, T.Z., Thant A.M., “Compatibility design of non-salient pole synchronous generator”, International Journal of Trend in Scientific Research and Development, 3(4), 2019.
  • Çelebi, M., “Cost optimization of salient pole synchronous machine by genetic algorithms”, In International Conference on Mathematical and Computational Applications, ICMCA, Konya, 2002.
  • Bell, A. E., Anpalahan, P., “Optimisation of salient-pole rotor for synchronous generators”, In: IEEE 2018 XIII International Conference on Electrical Machines (ICEM), pp. 339-344, 2018.
  • Nuzzo, S., Degano, M., Galea, M., Gerada, C., Gerada, D., Brown, N., “Improved damper cage design for salient-pole synchronous generators”, IEEE Transactions on Industrial Electronics, 201664(3), 1958-1970, 2016.
  • Nagarajan V. S., Rajini V., Electrical Machine Design, Pearson, 2018.
  • Shanmugasundaram, A., Gangadharan, G., Palani R., Electrical Machine Design Data Book, New Age Intenational Pvt. Ltd., 2007.
  • Boldea, I., Synchronous generators, CRC press, 2015.
  • Boduroğlu, T., Elektrik Makinaları Dersleri. 3(2), Senkron Makinaların Hesap ve Konstrüksiyonu, İTÜ Matbaası, İstanbul, 1994.
  • Ateş, H., Elektrik Makinalarının Hesabı, Yüksek Teknik Öğretmen Okulu Matbaası, Ankara, 1975.
  • Eberhart, R., Kennedy, J., “Particle swarm optimization”, In Proceedings of the IEEE International Conference on Neural Networks, 4, 1942-1948, 1995.
  • Reference16 Ozsağlam, M.Y., Cunkas, M., “Optimizasyon problemlerinin çözümü için parçaçık sürü optimizasyonu algoritması”, Politeknik Dergisi, 11(4): 299-305, 2008.
  • Dal, O., Yıldırım, M., Kurum, H., “Optimization of permanent magnet synchronous motor design by using PSO”, In: 4th IEEE International Conference on Power Electronics and their Applications (ICPEA), pp. 1-6, 2019.
  • Berber, O., Ateş, M., Alhassan, H.A., Güneş, M., “Parçacık sürü optimizasyonu ve PID ile mobil robotun optimum yörünge kontrolü”, Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 19(3): 165-169, 2016.
  • Ozsağlam, M.Y., Parçacık sürü optimizasyonu algoritmasının gezgin satıcı problemine uygulanması ve performansının incelenmesi, Master’s Thesis, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya, 2009.
  • Cavuslu, M.A., Karakuzu, C., Sahin, S., “Parçacık sürü optimizasyonu algoritması ile yapay sinir ağı eğitiminin FPGA üzerinde donanımsal gerçeklenmesi”, Politeknik Dergisi, 13(2), 83-92, 2010.
Year 2022, Volume: 7 Issue: 1-2, 27 - 35, 27.12.2022
https://doi.org/10.55088/ijesg.1182662

Abstract

References

  • Yuan,T., Yang, N., Zhang, W., Cao, W., Xing, N., Tan, Z., Li, G. “Improved synchronous machine rotor design for the easy assembly of excitation coils based on surrogate optimization”, Energies, 11(5), 1311, 2018.
  • Varan, M., Oylek, I., Dereli, S., “Üç fazlı senkron bir makinenin değişken yük durumları için geçici hal sonlu eleman analizi”, Gaziosmanpaşa Bilimsel Araştırma Dergisi, 6(özel sayı (ısmsıt2017)), 59-72, 2017.
  • Upadhyay, K. G., Design of Electrical Machines, New Age International, 2011.
  • Mandić, I., Pužar, M., Petrinić, M., “Optimization of large electrical salient pole synchronous generators”, COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 20(3), 813-827, 2001.
  • Shiyou, Y., Guangzheng, N., Yan, L., Renyuan, T., “Shape optimization of pole shoes in harmonic exciting synchronous generators using a stochastic algorithm”, IEEE Transactions on Magnetics, 33(2), 1920-1923, 1997.
  • Oo, T.Z., Thant A.M., “Compatibility design of non-salient pole synchronous generator”, International Journal of Trend in Scientific Research and Development, 3(4), 2019.
  • Çelebi, M., “Cost optimization of salient pole synchronous machine by genetic algorithms”, In International Conference on Mathematical and Computational Applications, ICMCA, Konya, 2002.
  • Bell, A. E., Anpalahan, P., “Optimisation of salient-pole rotor for synchronous generators”, In: IEEE 2018 XIII International Conference on Electrical Machines (ICEM), pp. 339-344, 2018.
  • Nuzzo, S., Degano, M., Galea, M., Gerada, C., Gerada, D., Brown, N., “Improved damper cage design for salient-pole synchronous generators”, IEEE Transactions on Industrial Electronics, 201664(3), 1958-1970, 2016.
  • Nagarajan V. S., Rajini V., Electrical Machine Design, Pearson, 2018.
  • Shanmugasundaram, A., Gangadharan, G., Palani R., Electrical Machine Design Data Book, New Age Intenational Pvt. Ltd., 2007.
  • Boldea, I., Synchronous generators, CRC press, 2015.
  • Boduroğlu, T., Elektrik Makinaları Dersleri. 3(2), Senkron Makinaların Hesap ve Konstrüksiyonu, İTÜ Matbaası, İstanbul, 1994.
  • Ateş, H., Elektrik Makinalarının Hesabı, Yüksek Teknik Öğretmen Okulu Matbaası, Ankara, 1975.
  • Eberhart, R., Kennedy, J., “Particle swarm optimization”, In Proceedings of the IEEE International Conference on Neural Networks, 4, 1942-1948, 1995.
  • Reference16 Ozsağlam, M.Y., Cunkas, M., “Optimizasyon problemlerinin çözümü için parçaçık sürü optimizasyonu algoritması”, Politeknik Dergisi, 11(4): 299-305, 2008.
  • Dal, O., Yıldırım, M., Kurum, H., “Optimization of permanent magnet synchronous motor design by using PSO”, In: 4th IEEE International Conference on Power Electronics and their Applications (ICPEA), pp. 1-6, 2019.
  • Berber, O., Ateş, M., Alhassan, H.A., Güneş, M., “Parçacık sürü optimizasyonu ve PID ile mobil robotun optimum yörünge kontrolü”, Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 19(3): 165-169, 2016.
  • Ozsağlam, M.Y., Parçacık sürü optimizasyonu algoritmasının gezgin satıcı problemine uygulanması ve performansının incelenmesi, Master’s Thesis, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya, 2009.
  • Cavuslu, M.A., Karakuzu, C., Sahin, S., “Parçacık sürü optimizasyonu algoritması ile yapay sinir ağı eğitiminin FPGA üzerinde donanımsal gerçeklenmesi”, Politeknik Dergisi, 13(2), 83-92, 2010.
There are 20 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Article
Authors

Kıvanç Doğan 0000-0003-4832-1412

Ahmet Orhan 0000-0003-1994-4661

Publication Date December 27, 2022
Published in Issue Year 2022 Volume: 7 Issue: 1-2

Cite

IEEE K. Doğan and A. Orhan, “DESIGN IMPROVEMENT OF A 2 MVA SYNCHRONOUS MACHINE BY USING PARTICLE SWARM OPTIMIZATION”, IJESG, vol. 7, no. 1-2, pp. 27–35, 2022, doi: 10.55088/ijesg.1182662.

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