Comparative study of sliding mode control with synergetic control for rotor side inverter of the DFIG for multi-rotor wind power systems
Keywords:
Synergetic control, Sliding mode control, Doubly-fed induction generator, Multi-rotor wind power system, direct power control, nonlinear methods.
Abstract
This paper presents a comparative study between two nonlinear methods represented in synergetic control and sliding mode control, where these two strategies are used to improve the performance and effectiveness of direct power control of the rotor side converter of the doubly-fed induction generator (DFIG) connected to a multi-rotor wind power system (MRWP). A comparative study is carried out in terms of the degree of complexity, simplicity, ease of implementation, durability, ripple reduction ratio, current quality, ...etc. In order to achieve the desired goal of this paper, three different tests are proposed using Matlab software. Moreover, the proposed methods are applied to a large-capacity generator (1.5MW). This study makes a comparison, research, and detailed analysis and presents the best solution for the control of the electric power generation systems based on DFIG. Therefore, this study is of great importance in the field of renewable energies intending to obtain a quality electric current of high value. The numerical results showed the characteristic/effectiveness of the synergetic control in improving the quality of reactive power, torque, current, and reactive power compared to the sliding mode control of the DFIG-based variable-speed MRWP systems.
References
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18. H. Kong, J. He, Y. Liu, P. Cheng and J. Ma, “Improved Direct Power Control of Doubly Fed Induction Generator Without Phase-Locked Loop,” 2020 IEEE Sustainable Power and Energy Conference (iSPEC), 2020, pp. 199-204, doi: 10.1109/iSPEC50848.2020.9351036.
19. H. Xue, Y. Wang and F. Yang, “Adaptive passivity-based control strategies of doubly fed induction wind power generator systems,” The 2nd International Symposium on Power Electronics for Distributed Generation Systems, 2010, pp. 731-734, doi: 10.1109/PEDG.2010.5545935.
20. M. El Azzaoui, H. Mahmoudi and C. Ed-dahmani, “Backstepping control of a Doubly Fed Induction Generator integrated to wind power system,” 2016 International Conference on Electrical and Information Technologies (ICEIT), 2016, pp. 306-311, doi: 10.1109/EITech.2016.7519611.
21. M. Rostami, S. M. Madani and S. Ademi, “Sensorless Closed-Loop Voltage and Frequency Control of Stand-Alone DFIGs Introducing Direct Flux-Vector Control,” in IEEE Transactions on Industrial Electronics, Vol. 67, No. 7, pp. 6078-6088, July 2020, doi: 10.1109/TIE.2019.2955421.
22. H. Benbouhenni, “Second order sliding mode with ANFIS controllers for DFIG using seven-level NSVPWM technique,” Majlesi Journal of Energy Management, Vol. 8, No. 1, pp. 29-39, 2019.
23. H. Benbouhenni, “A comparative study between FSMC and FSOSMC strategy for a DFIG-based wind turbine system,” Majlesi Journal of Mechatronic Systems, Vol. 8, No. 2, 2019.
24. W. Zhi-nong et al., “The intelligent control of DFIG-based wind generation,” 2009 International Conference on Sustainable Power Generation and Supply, 2009, pp. 1-5, doi: 10.1109/SUPERGEN.2009.5348146.
25. M. Valikhani and C. Sourkounis, “An adaptive intelligent controller for rotor resistance variations in DFIG system,” 22nd Mediterranean Conference on Control and Automation, 2014, pp. 882-887, doi: 10.1109/MED.2014.6961485.
26. F. Amrane and A. Chaiba, “A hybrid intelligent control based on DPC for grid-connected DFIG with a fixed switching frequency using MPPT strategy,” 2015 4th International Conference on Electrical Engineering (ICEE), 2015, pp. 1-4, doi: 10.1109/INTEE.2015.7416678.
27. H. Benbouhenni, “Application of DPC and DPC-GA to the dual-rotor wind turbine system with DFIG,” International Journal of Robotics and Automation, Vol.10, No.3, pp. 224-234, 2021. Doi: 10.11591/ijra.v10i3.pp224-234
28. F. Taibi, M. Tadjine, M. S. Boucherit and O. Benzineb, “Hybrid control of DFIG using multicellular converters,” 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT), 2015, pp. 1-6, doi: 10.1109/CEIT.2015.7232992.
29. Z. Kara and K. Barra, “Hybrid control law for maximum power point tracking in variable-speed wind generation,” IREC2015 The Sixth International Renewable Energy Congress, 2015, pp. 1-6, doi: 10.1109/IREC.2015.7110917.
30. X. Hao, T. Zhou, J. Wang and X. Yang, “A hybrid adaptive fuzzy control strategy for DFIG-based wind turbines with super-capacitor energy storage to realize short-term grid frequency support,” 2015 IEEE Energy Conversion Congress and Exposition (ECCE), 2015, pp. 1914-1918, doi: 10.1109/ECCE.2015.7309930.
31. H. Benbouhenni, “Hybrid neural sliding mode control of a DFIG speed in wind turbines,” Majlesi Journal of Energy Management, Vol. 6, No. 4, pp. 31-41, 2017.
32. R. W. Y. Habash, V. Groza and P. Guillemette, “Performance optimization of a dual-rotor wind turbine system,” 2010 IEEE Electrical Power & Energy Conference, 2010, pp. 1-6, doi: 10.1109/EPEC.2010.5697229.
33. M. S. Davis, A. Jafarian, F. Ferdowsi and M. R. Madani, “Wind Energy Harvesting Capability of a Novel Cascaded Dual-Rotor Horizontal-Axis Wind Turbine,” 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021, pp. 01-05, doi: 10.1109/ICECCME52200.2021.9590963.
34. S. Kadi, K. Imarazene, El Madjid Berkouk, H. Benbouhenni, E. Abdelkarim, “A direct vector control based on modified SMC theory to control the double-powered induction generator-based variable-speed contra-rotating wind turbine systems,” Energy Reports, Vol. 8, pp. 15057–15066, 2022. https://doi.org/10.1016/j.egyr.2022.11.052.
35. H. Benbouhenni, E. Bounadja, H. Gasmi, N. Bizon, I. Colak, “A new PD(1+PI) direct power controller for the variable-speed multi-rotor wind power system driven doubly-fed asynchronous generator,” Energy Reports, Vol. 8, pp. 15584-15594, 2022. https://doi.org/10.1016/j.egyr.2022.11.136.
36. A. Susperregui, M. I. Martínez, G. Tapia-Otaegui and A. Etxeberria, “Sliding-Mode Control Algorithm for DFIG Synchronization to Unbalanced and Harmonically Distorted Grids,” in IEEE Transactions on Sustainable Energy, vol. 13, no. 3, pp. 1566-1579, July 2022, doi: 10.1109/TSTE.2022.3166217.
37. S. S. Yu, G. Zhang, T. Fernando and H. H. -C. Iu, “A DSE-Based SMC Method of Sensorless DFIG Wind Turbines Connected to Power Grids for Energy Extraction and Power Quality Enhancement,” in IEEE Access, Vol. 6, pp. 76596-76605, 2018, doi: 10.1109/ACCESS.2018.2883591.
38. H. Benbouhenni, “Comparison study between FPWM and NSVM inverter in neuro-sliding mode control of reactive and active power control of a DFIG-based wind energy,” Majlesi Journal of Energy Management, Vol. 6, No. 4, pp.15-23, 2017.
39. K. Liang, X. Peng, J. Zhou, R. Wang and F. Li, “Synergetic control based on rotor speed regulation with variable proportional coefficient for doubly-fed wind turbines implementing virtual inertia support,” 8th Renewable Power Generation Conference (RPG 2019), 2019, pp. 1-8, doi: 10.1049/cp.2019.0368.
2. H. Zhu, L. Shi and F. Wu, “Optimal Allocation of Energy Storage Capacity for Stabilizing Wind Power Fluctuation,” 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2020, pp. 1-5, doi: 10.1109/APPEEC48164.2020.9220356.
3. O. Beik and A. Al-Adsani, “Wind Turbine Productivity and Wind Energy Assessment: An Ontario Case Study,” 2020 IEEE Electric Power and Energy Conference (EPEC), 2020, pp. 1-5, doi: 10.1109/EPEC48502.2020.9320110.
4. C. Wu, X. -P. Zhang and M. Sterling, “Wind power generation variations and aggregations,” in CSEE Journal of Power and Energy Systems, Vol. 8, No. 1, pp. 17-38, Jan. 2022, doi: 10.17775/CSEEJPES.2021.03070.
5. M. Hedayati-Mehdiabadi, J. Zhang and K. Hedman, “Wind power dispatch margin for flexible energy and reserve scheduling with increased wind generation,” 2017 IEEE Power & Energy Society General Meeting, 2017, pp. 1-1, doi: 10.1109/PESGM.2017.8273965.
6. J. Xie et al., “Characteristics Simulation Method of Megawatt Three-Blade Horizontal Axis Wind Turbine Based on Laboratory Kilowatt Low-Power Motor System,” in IEEE Transactions on Industry Applications, vol. 58, no. 1, pp. 645-655, Jan.-Feb. 2022, doi: 10.1109/TIA.2021.3123116.
7. I. Alkalbani and F. M. Guangul, “Economical Evaluation of Energy Harvesting Using Vertical Axis Wind Turbine from a Wind Turbulence Created by Moving Cars,” 2021 International Conference on Smart City and Green Energy (ICSCGE), 2021, pp. 26-29, doi: 10.1109/ICSCGE53744.2021.9654414.
8. O. Beik and A. S. Al-Adsani, “Active and Passive Control of a Dual Rotor Wind Turbine Generator for DC Grids,” in IEEE Access, vol. 9, pp. 1987-1995, 2021, doi: 10.1109/ACCESS.2020.3047267.
9. M. S. Islam, S. M. Tanbinul Hoque, M. R. Hazari, M. M. Hasan and M. Uddin, “Design and Simulation of a Dual Rotor Wind Turbine based PMSG System,” 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2021, pp. 17-20, doi: 10.1109/ICREST51555.2021.9331134.
10. V. S. Markov, N. V. Kriukova, Y. V. Honcharov and I. V. Polyakov, “Induction Generator Excitation by Using a Single Capacitor,” 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek), 2021, pp. 449-454, doi: 10.1109/KhPIWeek53812.2021.9570038.
11. L. Yu, Z. Zhang, Z. Chen and Y. Yan, “Analysis and Verification of the Doubly Salient Brushless DC Generator for Automobile Auxiliary Power Unit Application,” in IEEE Transactions on Industrial Electronics, Vol. 61, No. 12, pp. 6655-6663, Dec. 2014, doi: 10.1109/TIE.2014.2320224.
12. H. Benbouhenni, “Reducing current and torque ripples in DVC control of DFIG operation at constant switching frequency for wind generation application,” Majlesi Journal of Energy Management, Vol. 8, No. 4, pp. 47-55, 2019.
13. M. Barbosa de Siqueira, R. Kuiava and T. S. Piazza Fernandes, “Transient stability constrained optimal power flow applied to distribution systems with synchronous generators,” in IEEE Latin America Transactions, Vol. 20, No. 2, pp. 335-343, Feb. 2022, doi: 10.1109/TLA.2022.9661474.
14. H. Benbouhenni, Z. Boudjema, A. Belaidi, “DFIG-based wind turbine system using four-level FSVM strategy,” Majlesi Journal of Energy Management, Vol. 6, No. 3, 2017.
15. H. Benbouhenni, “Synergetic control theory scheme for asynchronous generator based dual-rotor wind power,” Journal of Electrical Engineering, Electronics, Control and Computer Science, Vol.7, No.3, pp.19-28, 2021.
16. S. Mondal and D. Kastha, “Input Reactive Power Controller With a Novel Active Damping Strategy for a Matrix Converter Fed Direct Torque Controlled DFIG for Wind Power Generation,” in IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8, No. 4, pp. 3700-3711, Dec. 2020, doi: 10.1109/JESTPE.2019.2938012.
17. S. S. Yu, G. Zhang, T. Fernando and H. H. -C. Iu, “A DSE-Based SMC Method of Sensorless DFIG Wind Turbines Connected to Power Grids for Energy Extraction and Power Quality Enhancement,” in IEEE Access, vol. 6, pp. 76596-76605, 2018, doi: 10.1109/ACCESS.2018.2883591.
18. H. Kong, J. He, Y. Liu, P. Cheng and J. Ma, “Improved Direct Power Control of Doubly Fed Induction Generator Without Phase-Locked Loop,” 2020 IEEE Sustainable Power and Energy Conference (iSPEC), 2020, pp. 199-204, doi: 10.1109/iSPEC50848.2020.9351036.
19. H. Xue, Y. Wang and F. Yang, “Adaptive passivity-based control strategies of doubly fed induction wind power generator systems,” The 2nd International Symposium on Power Electronics for Distributed Generation Systems, 2010, pp. 731-734, doi: 10.1109/PEDG.2010.5545935.
20. M. El Azzaoui, H. Mahmoudi and C. Ed-dahmani, “Backstepping control of a Doubly Fed Induction Generator integrated to wind power system,” 2016 International Conference on Electrical and Information Technologies (ICEIT), 2016, pp. 306-311, doi: 10.1109/EITech.2016.7519611.
21. M. Rostami, S. M. Madani and S. Ademi, “Sensorless Closed-Loop Voltage and Frequency Control of Stand-Alone DFIGs Introducing Direct Flux-Vector Control,” in IEEE Transactions on Industrial Electronics, Vol. 67, No. 7, pp. 6078-6088, July 2020, doi: 10.1109/TIE.2019.2955421.
22. H. Benbouhenni, “Second order sliding mode with ANFIS controllers for DFIG using seven-level NSVPWM technique,” Majlesi Journal of Energy Management, Vol. 8, No. 1, pp. 29-39, 2019.
23. H. Benbouhenni, “A comparative study between FSMC and FSOSMC strategy for a DFIG-based wind turbine system,” Majlesi Journal of Mechatronic Systems, Vol. 8, No. 2, 2019.
24. W. Zhi-nong et al., “The intelligent control of DFIG-based wind generation,” 2009 International Conference on Sustainable Power Generation and Supply, 2009, pp. 1-5, doi: 10.1109/SUPERGEN.2009.5348146.
25. M. Valikhani and C. Sourkounis, “An adaptive intelligent controller for rotor resistance variations in DFIG system,” 22nd Mediterranean Conference on Control and Automation, 2014, pp. 882-887, doi: 10.1109/MED.2014.6961485.
26. F. Amrane and A. Chaiba, “A hybrid intelligent control based on DPC for grid-connected DFIG with a fixed switching frequency using MPPT strategy,” 2015 4th International Conference on Electrical Engineering (ICEE), 2015, pp. 1-4, doi: 10.1109/INTEE.2015.7416678.
27. H. Benbouhenni, “Application of DPC and DPC-GA to the dual-rotor wind turbine system with DFIG,” International Journal of Robotics and Automation, Vol.10, No.3, pp. 224-234, 2021. Doi: 10.11591/ijra.v10i3.pp224-234
28. F. Taibi, M. Tadjine, M. S. Boucherit and O. Benzineb, “Hybrid control of DFIG using multicellular converters,” 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT), 2015, pp. 1-6, doi: 10.1109/CEIT.2015.7232992.
29. Z. Kara and K. Barra, “Hybrid control law for maximum power point tracking in variable-speed wind generation,” IREC2015 The Sixth International Renewable Energy Congress, 2015, pp. 1-6, doi: 10.1109/IREC.2015.7110917.
30. X. Hao, T. Zhou, J. Wang and X. Yang, “A hybrid adaptive fuzzy control strategy for DFIG-based wind turbines with super-capacitor energy storage to realize short-term grid frequency support,” 2015 IEEE Energy Conversion Congress and Exposition (ECCE), 2015, pp. 1914-1918, doi: 10.1109/ECCE.2015.7309930.
31. H. Benbouhenni, “Hybrid neural sliding mode control of a DFIG speed in wind turbines,” Majlesi Journal of Energy Management, Vol. 6, No. 4, pp. 31-41, 2017.
32. R. W. Y. Habash, V. Groza and P. Guillemette, “Performance optimization of a dual-rotor wind turbine system,” 2010 IEEE Electrical Power & Energy Conference, 2010, pp. 1-6, doi: 10.1109/EPEC.2010.5697229.
33. M. S. Davis, A. Jafarian, F. Ferdowsi and M. R. Madani, “Wind Energy Harvesting Capability of a Novel Cascaded Dual-Rotor Horizontal-Axis Wind Turbine,” 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021, pp. 01-05, doi: 10.1109/ICECCME52200.2021.9590963.
34. S. Kadi, K. Imarazene, El Madjid Berkouk, H. Benbouhenni, E. Abdelkarim, “A direct vector control based on modified SMC theory to control the double-powered induction generator-based variable-speed contra-rotating wind turbine systems,” Energy Reports, Vol. 8, pp. 15057–15066, 2022. https://doi.org/10.1016/j.egyr.2022.11.052.
35. H. Benbouhenni, E. Bounadja, H. Gasmi, N. Bizon, I. Colak, “A new PD(1+PI) direct power controller for the variable-speed multi-rotor wind power system driven doubly-fed asynchronous generator,” Energy Reports, Vol. 8, pp. 15584-15594, 2022. https://doi.org/10.1016/j.egyr.2022.11.136.
36. A. Susperregui, M. I. Martínez, G. Tapia-Otaegui and A. Etxeberria, “Sliding-Mode Control Algorithm for DFIG Synchronization to Unbalanced and Harmonically Distorted Grids,” in IEEE Transactions on Sustainable Energy, vol. 13, no. 3, pp. 1566-1579, July 2022, doi: 10.1109/TSTE.2022.3166217.
37. S. S. Yu, G. Zhang, T. Fernando and H. H. -C. Iu, “A DSE-Based SMC Method of Sensorless DFIG Wind Turbines Connected to Power Grids for Energy Extraction and Power Quality Enhancement,” in IEEE Access, Vol. 6, pp. 76596-76605, 2018, doi: 10.1109/ACCESS.2018.2883591.
38. H. Benbouhenni, “Comparison study between FPWM and NSVM inverter in neuro-sliding mode control of reactive and active power control of a DFIG-based wind energy,” Majlesi Journal of Energy Management, Vol. 6, No. 4, pp.15-23, 2017.
39. K. Liang, X. Peng, J. Zhou, R. Wang and F. Li, “Synergetic control based on rotor speed regulation with variable proportional coefficient for doubly-fed wind turbines implementing virtual inertia support,” 8th Renewable Power Generation Conference (RPG 2019), 2019, pp. 1-8, doi: 10.1049/cp.2019.0368.
Published
2023-01-07
How to Cite
BENBOUHENNI, H. (2023). Comparative study of sliding mode control with synergetic control for rotor side inverter of the DFIG for multi-rotor wind power systems. Majlesi Journal of Mechatronic Systems, 11(2), 29-37. Retrieved from https://ms.majlesi.info/index.php/ms/article/view/532
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