IX Regionalna konferencija Industrijska energetika i zaštita životne sredine u zemljama Jugoistočne Evrope (str. 371-376)
АУТОР(И) / AUTHOR(S): Milutin Jovanovic,
Krishna Busawon
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DOI: 10.46793/IEEP24.371J
САЖЕТАК / ABSTRACT:
The development of an entirely machine parameter independent vector control algorithm for sensorless operation of the emerging brushless doubly fed reluctance generator (BDFRG) for wind power applications is put forward in this paper. A model reference adaptive system (MRAS) with on-line parameter identification has been implemented for the accurate rotor position and speed estimation enabling smooth, decoupled real and reactive power control of the grid-connected winding. The proposed control scheme is versatile and applicable to any BDFRG without the need for prior knowledge of its parameters or impractical off-line testing procedures often prone to errors. The excellent maximum power point tracking potential and disturbance rejection properties of the controller in the base speed region have been validated by realistic simulation studies using MW rated BDFRG wind turbine design data.
КЉУЧНЕ РЕЧИ / KEYWORDS:
Brushless Doubly Fed Reluctance Generator, Wind Energy Conversion, Model Reference Adaptive System, Sensorless Power Control
ЛИТЕРАТУРА / REFERENCES:
[1] I. Boldea, L. N. Tutelea, C. Wu, F. Blaabjerg, Y. Liu, M. G. Hussien, and W. Xu, “Fractional kVA rating PWM converter doubly fed variable peed electric generator systems: An overview in 2020,” IEEE Access, vol. 9, pp. 117 957–117 968, 2021.
[2] M. Cheng, P. Han, G. Buja, and M. G. Jovanovi´c, “Emerging multiport electrical machines and systems: Past developments, current challenges, and future prospects,” IEEE Transactions on Industrial Electronics, vol. 65, no. 7, pp. 5422–5435, July 2018.
[3] F. Zhang, S. Yu, Y. Wang, S. Jin, and M. G. Jovanovic, “Design and performance comparisons of brushless doubly-fed generators with different rotor structures,” IEEE Transactions on Industrial Electronics, vol. 66, no. 1, pp. 631–640, Jan 2019.
[4] K. Fischer, K. Pelka, A. Bartschat, B. Tegtmeier, D. Coronado, C. Broer, and J. Wenske, “Reliability of power converters in wind turbines: Exploratory analysis of failure and operating data from a worldwide turbine fleet,” IEEE Transactions on Power Electronics, vol. 34, no. 7, pp. 6332–6344, July 2019.
[5] S. Agrawal, A. Province, and A. Banerjee, “An approach to maximize torque density in a brushless doubly fed reluctance machine,” IEEE Trans. on Industry Applications, vol. 56, no. 5, pp. 4829–4838, 2020.
[6] A. Attya, S. Ademi, M. Jovanovic, and O. Anaya-Lara, “Frequency support using doubly fed induction and reluctance wind turbine generators,” International Journal of Electrical Power and Energy Systems, vol. 101, pp. 403–414, 2018.
[7] S. Ademi and M. Jovanovi´c, “Vector control methods for brushless doubly fed reluctance machines,” IEEE Transactions on Industrial Electronics, vol. 62, no. 1, pp. 96–104, Jan 2015.
[8] S. Ademi, M. Jovanovi´c, and M. Hasan, “Control of brushless doublyfed reluctance generators for wind energy conversion systems,” IEEE Trans. on Energy Conversion, vol. 30, no. 2, pp. 596–604, June 2015.
[9] S. Ademi, M. G. Jovanovi´c, H. Chaal, and W. Cao, “A new sensorless speed control scheme for doubly fed reluctance generators,” IEEE Trans. on Energy Conversion, vol. 31, no. 3, pp. 993–1001, Sept. 2016.
[10] K. Kiran, S. Das, M. Kumar, and A. Sahu, “Sensorless speed control of brushless doubly-fed reluctance motor drive using secondary flux based MRAS,” Electric Power Components and Systems, vol. 46, no. 6, pp. 701–715, 2018.
[11] M. Kumar, S. Das, and K. Kiran, “Sensorless speed estimation of brushless doubly-fed reluctance generator using active power based MRAS,” IEEE Transactions on Power Electronics, vol. 34, no. 8, pp. 7878–7886, Aug 2019.
[12] K. Kiran and S. Das, “Implementation of reactive power-based MRAS for sensorless speed control of brushless doubly fed reluctance motor drive,” IET Power Electronics, vol. 11, no. 1, pp. 192–201, 2018.
[13] M. R. Agha Kashkooli and M. G. Jovanovic, “A MRAS observer based sensorless control of doubly-fed reluctance wind turbine generators,” in IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020, pp.1734–1739.
[14] M.-R. Agha-Kashkooli and M. Jovanovic, “Sensorless MRAS control of emerging doubly-fed reluctance wind generators,” IET Renewable Power Generation, vol. 15, no. 9, pp. 2007–2021, 2021.
[15] M. Jovanovic, S. Ademi, and R. Binns, “Sensorless variable speed operation of doubly-fed reluctance wind generators,” IET Renewable Power Generation, vol. 14, no. 15, pp. 2810–2819, 2020.
[16] M. Aghakashkooli and M. G. Jovanovic, “A dual observer for parameterfree encoderless control of doubly-fed reluctance generators,” IEEE Trans. on Industrial Electronics, vol. 70, no. 4, pp. 3461–3470, 2023.
[17] X. Chen, W. Pan, and X. Wang, “Analytical calculation of air-gap magnetic field in brushless doubly-fed reluctance machine with flux barriers,” IEEE Transactions on Energy Conversion, vol. 3, no. 2, pp. 1292–1303, 2022.
[18] D. Gay, R. E. Betz, D. Dorrell, and A. Knight, “Brushless doubly fed reluctance machine testing for parameter determination,” IEEE Transactions on Industry Applications, vol. 55, no. 3, pp. 2611–2619, May 2019.
[19] R. E. Betz and M. G. Jovanovic, “Theoretical analysis of control properties for the brushless doubly fed reluctance machine,” IEEE Transactions on Energy Conversion, vol. 17, no. 3, pp. 332–339, 2002.
[20] M. Singh, E. Muljadi, and J. Jonkman, Simulations for wind turbine generators with FAST and MATLAB-Simulink models. Department of Energy, U.S.: National Renewable Energy Laboratory (NREL), 2014. [Online]. Available: www.nrel.gov/docs/fy14osti/59195.pdf