Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

High-Gain Observer-Based Advanced Nonlinear Control of a Grid-Connected Wind Energy Conversion System with Sensorless Maximum Power Point Tracking

  • Identification data

    Identifier: imarina:9287661
  • Authors:

    Abouloifa, Abdelmajid
    Noussi, Karim
    Elbouchikhi, Elhoussin
    Katir, Hanane
    Lachkar, Ibtissam
    El Aroudi, Abdelali
  • Others:

    Author, as appears in the article.: Abouloifa, Abdelmajid; Noussi, Karim; Elbouchikhi, Elhoussin; Katir, Hanane; Lachkar, Ibtissam; El Aroudi, Abdelali;
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    URV's Author/s: El Aroudi Chaoui, Abdelali
    Keywords: Wind speed estimator Wecs Vsc Turbine Sliding mode control Output-feedback control Lyapunov stability High-gain observer Finite-time control Dfig Design Algorithm
    Abstract: This paper deals with the control development of a wind energy conversion system (WECS) interfaced to a utility grid by using a doubly fed induction generator (DFIG), a back-to-back (B2B) converter and an RL filter for optimal power extraction. The aim was to design a sensorless controller to improve the system reliability and to simultaneously achieve the regulation of the generator speed, reactive power and DC-link voltage. The proposed global control scheme combines: (i) a high-gain observer employed to estimate the generator speed and the mechanical torque, usually regarded as accessible, (ii) a sensorless MPPT block developed to provide optimal generator speed reference, which is designed on the basis of the mechanical observer and a polynomial wind-speed estimator and (iii) a finite-time controller (FTC) applied to the B2B converter to meet the output reference's tracking objectives in a short predefined finite time by using the backstepping and Lyapunov approaches. The proposed controller performance is formally analysed, and its capabilities are verified by numerical simulations using a 2 MW DFIG wind turbine (WT) under different operating conditions.
    Thematic Areas: Mechanical engineering Industrial and manufacturing engineering Engineering, mechanical Engineering, electrical & electronic Electrical and electronic engineering Control and systems engineering Control and optimization Computer science (miscellaneous)
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: abdelali.elaroudi@urv.cat
    Author identifier: 0000-0001-9103-7762
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2075-1702/10/11/1074
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Machines. 10 (11):
    APA: Abouloifa, Abdelmajid; Noussi, Karim; Elbouchikhi, Elhoussin; Katir, Hanane; Lachkar, Ibtissam; El Aroudi, Abdelali; (2022). High-Gain Observer-Based Advanced Nonlinear Control of a Grid-Connected Wind Energy Conversion System with Sensorless Maximum Power Point Tracking. Machines, 10(11), -. DOI: 10.3390/machines10111074
    Article's DOI: 10.3390/machines10111074
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Computer Science (Miscellaneous),Control and Optimization,Control and Systems Engineering,Electrical and Electronic Engineering,Engineering, Electrical & Electronic,Engineering, Mechanical,Industrial and Manufacturing Engineering,Mechanical Engineering
    Wind speed estimator
    Wecs
    Vsc
    Turbine
    Sliding mode control
    Output-feedback control
    Lyapunov stability
    High-gain observer
    Finite-time control
    Dfig
    Design
    Algorithm
    Mechanical engineering
    Industrial and manufacturing engineering
    Engineering, mechanical
    Engineering, electrical & electronic
    Electrical and electronic engineering
    Control and systems engineering
    Control and optimization
    Computer science (miscellaneous)
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