Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System

Cilt: 5 Sayı: 1 1 Mart 2015
  • Boris Dumnic
  • Bane Popadic
  • Dragan Milicevic
  • Vladimir Katic
  • Djura Oros
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Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System

Öz

Indirect field oriented control (IFOC) of squirrel-cage induction generator (SCIG) with full capacity power converter used in wind energy conversion system (WECS) is presented in this paper. In order to improve WECS reliability robust IFOC algorithm using artificial intelligence (AI) for speed estimation was developed. Estimated speed is used for realization of maximum power tracking algorithm (MPPT). Practical testing and validation of considered estimation techniques is performed using advance laboratory prototype of WECS. Extensive experimentation is conducted in order to verify efficiency and reliability of proposed speed-sensorless control technique under realistic WECS operating conditions.

Anahtar Kelimeler

Kaynakça

  1. IM using MRAS observer with ANN for given set of parameters. Proposed technique obviously leads the estimated signal to a finite steady state response, but the noise and oscillations make this signal unacceptable. As proposed by the theoretical discussion, to lessen the adverse effect learning coefficient should be η << 1. By manual tuning of the parameter, optimal learning coefficient is found to be η = 0.00009, while keeping the momentum term at the same value. Increment of the adjustable weight coefficient
  2. A. Belhamadia, M. Mansor, M. A. Younis, “A Study on Wind and Solar Energy Potentials in Malaysia”, International Journal of Renewable Energy Research – IJRER, Vol.4, No.4, pp. 1042-1048, 2014.
  3. N. S. Patil, Y. N. Bhosle, “A Review On Wind Turbine Generator Topologies”, International Conference on Power, Energy and Control (ICPEC) , pp.625-629, 6-8 Feb. 2013. doi: 10.1109/ICPEC.2013.6527733
  4. A. G. Aissaoui, A. Tahour, M. Abid, N. Essounbouli, F. Nollet, M. I. Chergu, “Variable Structure Control Applied in Wind Turbine Based on Induction Generator”, International Journal of Renewable Energy Research – IJRER, Vol.2, No.4, pp. 600-607, 2012.
  5. B. Wu, Y. Lang, N. Zagari, S. Kouro, Power Conversion and Control of Wind Energy Systems, John Wiley and Sons, IEEE Press, USA, 2011, ch. 5, ch. 7.
  6. R. Teodorescu, M. Liserre, P. Rodriguez Grid Converters for Photovoltaic and Wind Power Systems, John Wiley and Sons, IEEE Press, USA, 2011, ch. 6.
  7. J. B. Alaya, A. Khedher, M. F. Mimouni, “Speed- Sensorless DFIG Wind Drive Based on DTC Using Sliding Mode Rotor Flux Observer”, International Journal of Renewable Energy Research –IJRER, Vol.2, No.4, pp. 736-745, 2012.
  8. P. Vas, Sensorless Vector and Direct Torque Control, Oxford Univ. Press, NY, 1998, ch. 4.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Boris Dumnic Bu kişi benim

Bane Popadic Bu kişi benim

Dragan Milicevic Bu kişi benim

Vladimir Katic Bu kişi benim

Djura Oros Bu kişi benim

Yayımlanma Tarihi

1 Mart 2015

Gönderilme Tarihi

3 Şubat 2016

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2015 Cilt: 5 Sayı: 1

Kaynak Göster

APA
Dumnic, B., Popadic, B., Milicevic, D., Katic, V., & Oros, D. (2015). Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System. International Journal Of Renewable Energy Research, 5(1), 299-307. https://izlik.org/JA74YB66TZ
AMA
1.Dumnic B, Popadic B, Milicevic D, Katic V, Oros D. Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System. International Journal Of Renewable Energy Research. 2015;5(1):299-307. https://izlik.org/JA74YB66TZ
Chicago
Dumnic, Boris, Bane Popadic, Dragan Milicevic, Vladimir Katic, ve Djura Oros. 2015. “Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System”. International Journal Of Renewable Energy Research 5 (1): 299-307. https://izlik.org/JA74YB66TZ.
EndNote
Dumnic B, Popadic B, Milicevic D, Katic V, Oros D (01 Mart 2015) Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System. International Journal Of Renewable Energy Research 5 1 299–307.
IEEE
[1]B. Dumnic, B. Popadic, D. Milicevic, V. Katic, ve D. Oros, “Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System”, International Journal Of Renewable Energy Research, c. 5, sy 1, ss. 299–307, Mar. 2015, [çevrimiçi]. Erişim adresi: https://izlik.org/JA74YB66TZ
ISNAD
Dumnic, Boris - Popadic, Bane - Milicevic, Dragan - Katic, Vladimir - Oros, Djura. “Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System”. International Journal Of Renewable Energy Research 5/1 (01 Mart 2015): 299-307. https://izlik.org/JA74YB66TZ.
JAMA
1.Dumnic B, Popadic B, Milicevic D, Katic V, Oros D. Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System. International Journal Of Renewable Energy Research. 2015;5:299–307.
MLA
Dumnic, Boris, vd. “Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System”. International Journal Of Renewable Energy Research, c. 5, sy 1, Mart 2015, ss. 299-07, https://izlik.org/JA74YB66TZ.
Vancouver
1.Boris Dumnic, Bane Popadic, Dragan Milicevic, Vladimir Katic, Djura Oros. Artificial Intelligence Based Vector Control of Induction Generator Without Speed Sensor for Use in Wind Energy Conversion System. International Journal Of Renewable Energy Research [Internet]. 01 Mart 2015;5(1):299-307. Erişim adresi: https://izlik.org/JA74YB66TZ