Sensorless passivity based control of doubly-fed induction generators in variable-speed wind turbine systems based on high gain observer
Authors
Lakhdar Saihi, Brahim Berbaoui, Larbi Djilali, Mohammed Boura
Abstract
The current study presents a robust sensorless control using passivity based control (PBC) combined with high gain observer (HGO). The proposed controller is applied to control the generated doubly-fed induction generator (DFIG) active and reactive power installed on a variable speed wind energy conversion system. The control objective is used to regulate independently the DFIG stator active and reactive power, which are decoupled by using the field oriented control technique. Additionally, this process leads to reduce the cost of control scheme by eliminating the speed sensor. Firstly, the DFIG is modeled under the port controlled Hamiltonian (PCH) model, as well as the method of simultaneous injection damping. Then, the DFIG is further modeled by assignment passivity based on the simultaneous injection damping and assignment (SIDA-PBC) control of the obtained model under such conditions and a comparison with the fuzzy sliding mode controller is carried out. Furthermore, the HGO is selected in order to estimate the rotor position and the speed from the measurement of the DFIG currents and voltages, and compared with fuzzy sliding mode observer. For testing the proposed control scheme performance, a 1.5 MW DFIG system is developed and simulated using MATLAB/Simulink. The obtained results demonstrate the effectiveness of the proposed control scheme in the presence of various DFIG parameters variation. Additionally, the control objective is achieved without speed sensor.
Citation
- Journal: Wind Engineering
- Year: 2023
- Volume: 47
- Issue: 1
- Pages: 86–103
- Publisher: SAGE Publications
- DOI: 10.1177/0309524x221122531
BibTeX
@article{Saihi_2022,
title={{Sensorless passivity based control of doubly-fed induction generators in variable-speed wind turbine systems based on high gain observer}},
volume={47},
ISSN={2048-402X},
DOI={10.1177/0309524x221122531},
number={1},
journal={Wind Engineering},
publisher={SAGE Publications},
author={Saihi, Lakhdar and Berbaoui, Brahim and Djilali, Larbi and Boura, Mohammed},
year={2022},
pages={86--103}
}
References
- A.BELABBES, B. HAMANE, M.BOUHAMIDA & A.DRAOU. Power Control of a Wind Energy Conversion System based on a Doubly Fed Induction Generator using RST and Sliding Mode Controllers. RE&PQJ 10, (2024) – 10.24084/repqj10.298
- Belfedal C, International Journal of Renewable Energy Research (2017)
- Benamor, A., Benchouia, M. T., Srairi, K. & Benbouzid, M. E. H. A new rooted tree optimization algorithm for indirect power control of wind turbine based on a doubly-fed induction generator. ISA Transactions 88, 296–306 (2019) – 10.1016/j.isatra.2018.11.023
- Benfriha, E., Mansouri, A., Bendiabdellah, A. & Boufadene, M. Nonlinear adaptive observer for sensorless passive control of permanent magnet synchronous motor. Journal of King Saud University - Engineering Sciences 32, 510–517 (2020) – 10.1016/j.jksues.2019.06.003
- Boualouch A, International Energy Journal (2017)
- Brogliato, B., Lozano, R., Maschke, B. & Egeland, O. Passivity-Based Control. Communications and Control Engineering 491–573 (2019) doi:10.1007/978-3-030-19420-8_7 – 10.1007/978-3-030-19420-8_7
- Chen, J., Chen, J. & Gong, C. New Overall Power Control Strategy for Variable-Speed Fixed-Pitch Wind Turbines Within the Whole Wind Velocity Range. IEEE Trans. Ind. Electron. 60, 2652–2660 (2013) – 10.1109/tie.2012.2196901
- Djoudi, A., Chekireb, H. & Berkouk, E. M. Robust sliding mode observer/controller of wind energy conversion system based on DFIG. 3rd International Conference on Systems and Control 886–893 (2013) doi:10.1109/icosc.2013.6750962 – 10.1109/icosc.2013.6750962
- Doumi, M., Aissaoui, A. G., Abid, M., Tahour, A. & Tahir, K. Robust Fuzzy Gains Scheduling of RST Controller for a WECS Based on a Doubly-Fed Induction Generator. Automatika 57, 617–626 (2016) – 10.7305/automatika.2017.02.1241
- El Azzaoui, M., Mahmoudi, H. & Ed-dahmani, C. Backstepping control of a Doubly Fed Induction Generator integrated to wind power system. 2016 International Conference on Electrical and Information Technologies (ICEIT) 306–311 (2016) doi:10.1109/eitech.2016.7519611 – 10.1109/eitech.2016.7519611
- Farza, M., M’Saad, M., Triki, M. & Maatoug, T. High gain observer for a class of non-triangular systems. Systems & Control Letters 60, 27–35 (2011) – 10.1016/j.sysconle.2010.09.009
- Hamida, M. A., de Leon, J. & Glumineau, A. Experimental sensorless control for IPMSM by using integral backstepping strategy and adaptive high gain observer. Control Engineering Practice 59, 64–76 (2017) – 10.1016/j.conengprac.2016.11.012
- Huang, J., Wang, H. & Wang, C. Passivity-Based Control of a Doubly Fed Induction Generator System under Unbalanced Grid Voltage Conditions. Energies 10, 1139 (2017) – 10.3390/en10081139
- Kairous, D. & Wamkeue, R. DFIG-based fuzzy sliding-mode control of WECS with a flywheel energy storage. Electric Power Systems Research 93, 16–23 (2012) – 10.1016/j.epsr.2012.07.002
- Kerrouche, K., Mezouar, A. & Belgacem, Kh. Decoupled Control of Doubly Fed Induction Generator by Vector Control for Wind Energy Conversion System. Energy Procedia 42, 239–248 (2013) – 10.1016/j.egypro.2013.11.024
- Maanani Y, Selçuk-Teknik Dergisi (2018)
- Mazouz, F., Belkacem, S., Colak, I., Drid, S. & Harbouche, Y. Adaptive direct power control for double fed induction generator used in wind turbine. International Journal of Electrical Power & Energy Systems 114, 105395 (2020) – 10.1016/j.ijepes.2019.105395
- Ortega R, Passivity-Based Control of Euler-Lagrange Systems: Mechanical, Electrical and Electromechanical Applications (2013)
- Pang, S. et al. Interconnection and Damping Assignment Passivity-Based Control Applied to On-Board DC–DC Power Converter System Supplying Constant Power Load. IEEE Trans. on Ind. Applicat. 55, 6476–6485 (2019) – 10.1109/tia.2019.2938149
- Saihi L, AIP Conference Proceedings (2019)
- Salim, R., Mansouri, A., Bendiabdellah, A., Chekroun, S. & Touam, M. Sensorless passivity based control for induction motor via an adaptive observer. ISA Transactions 84, 118–127 (2019) – 10.1016/j.isatra.2018.10.002
- Sanjuan, J. J. V., Flores, J. L., Mendoza, E. Y. & Tlaxcaltecatl, M. E. A sensorless passivity-based control for PMSM. 2018 International Conference on Electronics, Communications and Computers (CONIELECOMP) 86–91 (2018) doi:10.1109/conielecomp.2018.8327180 – 10.1109/conielecomp.2018.8327180
- Subramaniam, R. & Joo, Y. H. Passivity-Based Fuzzy ISMC for Wind Energy Conversion Systems With PMSG. IEEE Trans. Syst. Man Cybern, Syst. 51, 2212–2220 (2021) – 10.1109/tsmc.2019.2930743
- Talla O, Journal of Engineering Science & Technology Review (2018)
- Wang, Q. L., Tan, M. & Yang, S. Y. A Novel Sliding-Mode Observer for Doubly-Fed Induction Generator. AMM 511–512, 1105–1109 (2014) – 10.4028/www.scientific.net/amm.511-512.1105
- Yang, B. et al. Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine. Renewable Energy 119, 577–589 (2018) – 10.1016/j.renene.2017.12.047
- Yasmine, I., Chakib, E. B. & Badre, B. Power Control of DFIG-generators for Wind Turbines Variable-speed. IJPEDS 8, 444 (2017) – 10.11591/ijpeds.v8.i1.pp444-453