Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines
Wind energy has many advantages because it does not pollute and is an inexhaustible source of energy. In this paper Neural High Order Sliding Mode (NHOSM) control is developed for Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT). The stator winding is directly coupled with the main netw...
- Autores:
-
Djilali, Larbi
Badillo-Olvera, Anuar
Rios, Yennifer Yuliana
López-Beltrán, Harold
Saihi, Lakhdar
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12399
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12399
- Palabra clave:
- Asynchronous Generators;
Powerpoint;
Energy Conversion
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines |
| title |
Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines |
| spellingShingle |
Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines Asynchronous Generators; Powerpoint; Energy Conversion LEMB |
| title_short |
Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines |
| title_full |
Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines |
| title_fullStr |
Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines |
| title_full_unstemmed |
Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines |
| title_sort |
Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines |
| dc.creator.fl_str_mv |
Djilali, Larbi Badillo-Olvera, Anuar Rios, Yennifer Yuliana López-Beltrán, Harold Saihi, Lakhdar |
| dc.contributor.author.none.fl_str_mv |
Djilali, Larbi Badillo-Olvera, Anuar Rios, Yennifer Yuliana López-Beltrán, Harold Saihi, Lakhdar |
| dc.subject.keywords.spa.fl_str_mv |
Asynchronous Generators; Powerpoint; Energy Conversion |
| topic |
Asynchronous Generators; Powerpoint; Energy Conversion LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
Wind energy has many advantages because it does not pollute and is an inexhaustible source of energy. In this paper Neural High Order Sliding Mode (NHOSM) control is developed for Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT). The stator winding is directly coupled with the main network, whereas a Back-to-Back converter is installed to connect its rotor to the grid. The proposed control scheme is composed of Recurrent High Order Neural Network (RHONN) trained with the Extended Kalman Filter (EKF), which is used to build-up the DFIG models. Based on such identifier, the High Order Sliding Mode (HOSM) using Super-Twisting (ST) algorithm is synthesized. To show the potential of the selected scheme, a comparison study considering the NHOSM, Conventional Sliding mode (CSM), and the HOSM control is done. To ensure maximum power extractions and to protect the system, the Maximum Point Power Tracking (MPPT) algorithm and the h control are also implemented. Simulation results demonstrate the effectiveness of the proposed scheme for enhancing robustness, reducing chattering, and improving quality and quantity of the generated power. © |
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2022 |
| dc.date.issued.none.fl_str_mv |
2022 |
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2023-07-21T20:52:11Z |
| dc.date.available.none.fl_str_mv |
2023-07-21T20:52:11Z |
| dc.date.submitted.none.fl_str_mv |
2023 |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_6501 |
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draft |
| dc.identifier.citation.spa.fl_str_mv |
Djilali, L., Badillo-Olvera, A., Rios, Y. Y., López-Beltrán, H., & Saihi, L. (2021). Neural high order sliding mode control for doubly fed induction generator based wind turbines. IEEE Latin America Transactions, 20(2), 223-232. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12399 |
| dc.identifier.doi.none.fl_str_mv |
10.1109/TLA.2022.9661461 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Djilali, L., Badillo-Olvera, A., Rios, Y. Y., López-Beltrán, H., & Saihi, L. (2021). Neural high order sliding mode control for doubly fed induction generator based wind turbines. IEEE Latin America Transactions, 20(2), 223-232. 10.1109/TLA.2022.9661461 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/12399 |
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eng |
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eng |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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IEEE Latin America Transactions |
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Djilali, Larbie4fab56c-44fe-4466-a92a-b95778e48388Badillo-Olvera, Anuar26cf08f2-65d7-4758-a965-4000d0140ca4Rios, Yennifer Yuliana7e43cfda-699d-49a8-86cb-03733c7e6069López-Beltrán, Haroldb06e6033-56b0-47e5-9d10-ca6f49940765Saihi, Lakhdar90b71acb-8a0b-4071-8584-1f4e0a9198112023-07-21T20:52:11Z2023-07-21T20:52:11Z20222023Djilali, L., Badillo-Olvera, A., Rios, Y. Y., López-Beltrán, H., & Saihi, L. (2021). Neural high order sliding mode control for doubly fed induction generator based wind turbines. IEEE Latin America Transactions, 20(2), 223-232.https://hdl.handle.net/20.500.12585/1239910.1109/TLA.2022.9661461Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarWind energy has many advantages because it does not pollute and is an inexhaustible source of energy. In this paper Neural High Order Sliding Mode (NHOSM) control is developed for Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT). The stator winding is directly coupled with the main network, whereas a Back-to-Back converter is installed to connect its rotor to the grid. The proposed control scheme is composed of Recurrent High Order Neural Network (RHONN) trained with the Extended Kalman Filter (EKF), which is used to build-up the DFIG models. Based on such identifier, the High Order Sliding Mode (HOSM) using Super-Twisting (ST) algorithm is synthesized. To show the potential of the selected scheme, a comparison study considering the NHOSM, Conventional Sliding mode (CSM), and the HOSM control is done. To ensure maximum power extractions and to protect the system, the Maximum Point Power Tracking (MPPT) algorithm and the h control are also implemented. Simulation results demonstrate the effectiveness of the proposed scheme for enhancing robustness, reducing chattering, and improving quality and quantity of the generated power. ©application/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2IEEE Latin America TransactionsNeural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbinesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Asynchronous Generators;Powerpoint;Energy ConversionLEMBCartagena de IndiasAbad, G., López, J., Rodríguez, M.A., Marroyo, L., Iwanski, G. Doubly Fed Induction Machine: Modeling and Control for Wind Energy Generation (2011) Doubly Fed Induction Machine: Modeling and Control for Wind Energy Generation. Cited 973 times. http://onlinelibrary.wiley.com/book/10.1002/9781118104965 ISBN: 978-047076865-5 doi: 10.1002/9781118104965Beltran, B., Benbouzid, M.E.H., Ahmed-Ali, T. Second-order sliding mode control of a doubly fed induction generator driven wind turbine (2012) IEEE Transactions on Energy Conversion, 27 (2), art. no. 6130597, pp. 261-269. Cited 284 times. doi: 10.1109/TEC.2011.2181515Abed, N.Y., Kabsha, M.M., Abdlsalam, G.M. Low Voltage Ride-Through protection techniques for DFIG wind generator (2013) IEEE Power and Energy Society General Meeting, art. no. 6673049. Cited 14 times. ISBN: 978-147991303-9 doi: 10.1109/PESMG.2013.6673049Pena, R., Clare, J.C., Asher, G.M. Doubly fed induction generator using back-to-back PWM converters and its application to variablespeed wind-energy generation (1996) IEE Proceedings: Electric Power Applications, 143 (3), pp. 231-241. Cited 2597 times. doi: 10.1049/ip-epa:19960288Poitiers, F., Bouaouiche, T., Machmoum, M. Advanced control of a doubly-fed induction generator for wind energy conversion (2009) Electric Power Systems Research, 79 (7), pp. 1085-1096. Cited 231 times. doi: 10.1016/j.epsr.2009.01.007Xu, L., Cartwright, P. Direct active and reactive power control of DFIG for wind energy generation (2006) IEEE Transactions on Energy Conversion, 21 (3), pp. 750-758. Cited 674 times. doi: 10.1109/TEC.2006.875472Huerta, H. Energy-Based Robust Control of Doubly-Fed Induction Generator (2016) Iranian Journal of Science and Technology - Transactions of Electrical Engineering, 40 (1), pp. 23-33. Cited 4 times. http://www.shirazu.ac.ir/en/index.php?page_id=2300 doi: 10.1007/s40998-016-0003-3Saihi, L., Berbaoui, B., Glaoui, H., Djilali, L., Abdeldjalil, S. Robust sliding mode H∞ controller of DFIG based on variable speed wind energy conversion system (2020) Periodica polytechnica Electrical engineering and computer science, 64 (1), pp. 53-63. Cited 12 times. https://pp.bme.hu/eecs/article/view/14490/8506 doi: 10.3311/PPee.14490Martinez, M.I., Susperregui, A., Tapia, G., Xu, L. Sliding-mode control of a wind turbine-driven double-fed induction generator under non-ideal grid voltages (2013) IET Renewable Power Generation, 7 (4), pp. 370-379. Cited 88 times. doi: 10.1049/iet-rpg.2012.0172Djilali, L., Sanchez, E.N., Belkheiri, M. Real-time implementation of sliding-mode field-oriented control for a DFIG-based wind turbine (Open Access) (2018) International Transactions on Electrical Energy Systems, 28 (5), art. no. e2539. Cited 27 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2050-7038 doi: 10.1002/etep.2539Sun, D., Wang, X., Nian, H., Zhu, Z.Q. A Sliding-Mode Direct Power Control Strategy for DFIG under Both Balanced and Unbalanced Grid Conditions Using Extended Active Power (Open Access) (2018) IEEE Transactions on Power Electronics, 33 (2), art. no. 7885559, pp. 1313-1322. Cited 99 times. http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4712525 doi: 10.1109/TPEL.2017.2686980Levant, A. Sliding order and sliding accuracy in sliding mode control (1993) International Journal of Control, 58 (6), pp. 1247-1263. Cited 2597 times. doi: 10.1080/00207179308923053Zheng, X., Wei, W., Xu, D. Higher-order sliding mode control of DFIG wind energy system under LVRT (2010) Asia-Pacific Power and Energy Engineering Conference, APPEEC, art. no. 5449479. Cited 11 times. ISBN: 978-142444813-5 doi: 10.1109/APPEEC.2010.5449479Xiong, L., Li, P., Wang, J. High-order sliding mode control of DFIG under unbalanced grid voltage conditions (2020) International Journal of Electrical Power and Energy Systems, 117, art. no. 105608. Cited 38 times. https://www.journals.elsevier.com/international-journal-of-electrical-power-and-energy-systems doi: 10.1016/j.ijepes.2019.105608Ruiz-Duarte, J.E., Loukianov, A.G. Output-Feedback Discrete-Time Sliding Mode Control via Disturbance Estimation (2018) Proceedings of IEEE International Workshop on Variable Structure Systems, 2018-July, art. no. 8460442, pp. 13-18. http://ieeexplore.ieee.org/xpl/conferences.jsp ISBN: 978-153866439-1 doi: 10.1109/VSS.2018.8460442Benbouhenni, H., Boudjema, Z., Belaidi, A. Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system (2018) Iranian Journal of Electrical and Electronic Engineering, 14 (4), pp. 362-373. Cited 12 times. http://ijeee.iust.ac.ir/article-1-1239-en.pdf doi: 10.22068/IJEEE.14.4.362Barmish, B.R., Leitmann, G. On Ultimate Boundedness Control of Uncertain Systems in the Absence of Matching Assumptions (1982) IEEE Transactions on Automatic Control, 27 (1), pp. 153-158. Cited 279 times. doi: 10.1109/TAC.1982.1102862Castaneda, C.E., Loukianov, A.G., Sanchez, E.N., Castillo-Toledo, B. Discrete-time neural sliding-mode block control for a DC motor with controlled flux (2012) IEEE Transactions on Industrial Electronics, 59 (2), art. no. 5942161, pp. 1194-1207. Cited 52 times. doi: 10.1109/TIE.2011.2161246Senthilnathan, K., Iyswarya Annapoorani, K. A review on back-to-back converters in permanent magnet synchronous generator based wind energy conversion system (2016) Indonesian Journal of Electrical Engineering and Computer Science, 2 (3), pp. 583-591. Cited 11 times. http://www.iaescore.com/journals/index.php/IJEECS/article/download/428/317 doi: 10.11591/ijeecs.v2.i3.pp583-591Ruiz-Cruz, R., Sanchez, E.N., Loukianov, A.G., Ruz-Hernandez, J.A. Real-time neural inverse optimal control for a wind generator (2019) IEEE Transactions on Sustainable Energy, 10 (3), art. no. 8424432, pp. 1172-1183. Cited 28 times. https://ieeexplore.ieee.org/servlet/opac?punumber=5165391 doi: 10.1109/TSTE.2018.2862628Djilali, L., Sanchez, E.N., Belkheiri, M. First and High Order Sliding Mode Control of a DFIG-Based Wind Turbine (2020) Electric Power Components and Systems, 48 (1-2), pp. 105-116. 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