PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A comparative study based on proportional integral and backstepping controllers for doubly fed induction generator used in wind energy conversion system

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a comparative study between the conventional PI (Proportional Integral) and backstepping controllers applied to the DFIG (Doubly Fed Induction Generator) used in WECS (Wind Energy Conversion System). These two different control strategies proposed in this work are developed to control the active and reactive power of the DFIG on the one hand, and to maintain the DC-link voltage constant for the inverting function on the other hand. This is ensured by generating control signals for two power electronic converters, RSC (Rotor Side Converter) and GSC (Grid Side Converter). In order to optimise the power production in the WT (Wind Turbine), an MPPT (Maximum Power Point Tracking) algorithm is applied along with each control technique. To simulate the effectiveness of the proposed controllers, MATLAB/Simulink Software is used, and the obtained results are analysed and discussed to compare PI and backstepping controllers in terms of robustness against wind speed variations and tracking performance in dynamic and steady states.
Rocznik
Strony
211--228
Opis fizyczny
Bibliogr. 21 poz., tab., rys., wz.
Twórcy
  • Advanced Systems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University Kenitra, Morocco
  • Advanced Systems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University Kenitra, Morocco
  • Advanced Systems Engineering Laboratory, National School of Applied Sciences, Ibn Tofail University Kenitra, Morocco
Bibliografia
  • [1] IEA, IEA (2021), Global Energy Review, Paris (2021) Available at: https://www.iea.org/reports/global-energy-review-2021.
  • [2] Sen S., Ganguly S., Opportunities, barriers and issues with renewable energy development – A discussion, Renewable and Sustainable Energy Reviews, vol. 69, pp. 1170–1181 (2017), DOI: 10.1016/j.rser.2016.09.137.
  • [3] Li L. et al., Review and outlook on the international renewable energy development, Energy and Built Environment (2020), DOI: 10.1016/j.enbenv.2020.12.002.
  • [4] Tawfiq K.B., Mansour A.S., Ramadan H.S., Becherif M., El-kholy E.E., Wind Energy Conversion System Topologies and Converters: Comparative Review, Energy Procedia, vol. 162, pp. 38–47 (2019), DOI: 10.1016/j.egypro.2019.04.005.
  • [5] Le T.-H., A combined method for wind power generation forecasting, Archives of Electrical Engineering, pp. 991-1009–991–1009 (2021), DOI: 10.24425/aee.2021.138274.
  • [6] Chen Z., Guerrero J.M., Blaabjerg F., A Review of the State of the Art of Power Electronics for Wind Turbines, IEEE Transactions on Power Electronics, vol. 24, no. 8, pp. 1859–1875 (2009), DOI: 10.1109/TPEL.2009.2017082.
  • [7] Mohammadi F. et al., Robust Control Strategies for Microgrids: A Review, IEEE Systems Journal, vol. 16, no. 2, pp. 2401–2412 (2022), DOI: 10.1109/JSYST.2021.3077213.
  • [8] Aazami R., Heydari O., Tavoosi J., Shirkhani M., Mohammadzadeh A., Mosavi A., Optimal Control of an Energy-Storage System in a Microgrid for Reducing Wind-Power Fluctuations, Sustainability, vol. 14, no. 10 (2022), DOI: 10.3390/su14106183.
  • [9] Iranmehr H. et al., Modeling the Price of Emergency Power Transmission Lines in the Reserve Market Due to the Influence of Renewable Energies, Frontiers in Energy Research, vol. 9 (2022), DOI: 10.3389/fenrg.2021.792418.
  • [10] Karad S., Thakur R., Recent Trends of Control Strategies for Doubly Fed Induction Generator Based Wind Turbine Systems: A Comparative Review, Archives of Computational Methods in Engineering,vol. 28, no. 1, pp. 15–29 (2021), DOI: 10.1007/s11831-019-09367-3.
  • [11] Mouhi N.E. Essadki A., Active and Reactive Power Control of DFIG used in WECS using PI Controller and Backstepping, in 2017 International Renewable and Sustainable Energy Conference (IRSEC), pp. 1–6 (2017), DOI: 10.1109/IRSEC.2017.8477349.
  • [12] Nadour M., Essadki A., Nasser T., Comparative Analysis between PI & Backstepping Control Strategies of DFIG Driven by Wind Turbine, International Journal of Renewable Energy Research, vol. 7, no. 3, pp. 1307–1316 (2017), DOI: 10.20508/ijrer.v7i3.6066.g7163.
  • [13] Mensou S., Essadki A., Minka I., Nasser T., Idrissi B.B., Backstepping Controller for a Variable Wind Speed Energy Conversion System Based on a DFIG, International Journal of Electrical and Computer Engineering, vol. 12, no. 9, pp. 598–604 (2018), DOI: 10.1109/IRSEC.2017.8477586.
  • [14] Barambones O., Sliding Mode Control Strategy for Wind Turbine Power Maximization, Energies, vol. 5 (2012), DOI: 10.3390/en5072310.
  • [15] Chakib R., Essadki A., Cherkaoui M., Active Disturbance Rejection Control for Wind System Based on a DFIG, International Journal of Electrical and Computer Engineering, vol. 8, no. 8, pp. 1313–1322 (2014), DOI: 10.5281/zenodo.1096099.
  • [16] Jabal Laafou A., Ait Madi A., Addaim A., Intidam A., Dynamic Modeling and Improved Control of a Grid-Connected DFIG Used in Wind Energy Conversion Systems, Mathematical Problems in Engineering, vol. 2020, p. e1651648 (2020), DOI: 10.1155/2020/1651648.
  • [17] Moumani Y., Laafou A.J., Ait Madi A., Modeling and Backstepping Control of DFIG used in Wind Enegry Conversion System, in 2021 7th International Conference on Optimization and Applications (ICOA), pp. 1–6 (2021), DOI: 10.1109/ICOA51614.2021.9442625.
  • [18] Fdaili M., Essadki A., Nasser T., Comparative Analysis Between Robust SMC & Conventional PI Controllers Used in WECS Based on DFIG, International Journal of Renewable Energy Research (IJRER), vol. 7, no. 4, no. 4 (2017), DOI: 10.20508/ijrer.v7i4.6441.g7267.
  • [19] Laafou A.J., Ait Madi A., Addaim A., Dynamic Control of DFIG used in Wind Power Production, based on PI regulator, in 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), pp. 1–6 (2020), DOI: 10.1109/ICECOCS50124.2020.9314563.
  • [20] Bossoufi B., Karim M., Lagrioui A., Taoussi M., Ghamrasni M.E., Backstepping Adaptive Control of DFIG-Generators for Variable-Speed Wind Turbines, International Journal of Computers and Technology, vol. 12, no. 7 (2014), DOI: 10.24297/ijct.v12i7.3079.
  • [21] Arbaoui M., Essadki A., Comparative Analysis of ADRC & PI Controllers Used in Wind Turbine System Driving a DFIG, International Journal of Renewable Energy Research (IJRER), vol. 7, no. 4, (2017), DOI: 10.20508/ijrer.v7i4.6270.g7225.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-56d0941a-97be-4154-9eef-cc875d55173e
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.