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Improving the Characteristics of the Direct FOC Strategy in DFIG‐Based Wind Turbine Systems Using FOIDD and FOPD Controllers.

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Title: Improving the Characteristics of the Direct FOC Strategy in DFIG‐Based Wind Turbine Systems Using FOIDD and FOPD Controllers.
Authors: Gasmi, Hamza1 (AUTHOR), Benbouhenni, Habib2 (AUTHOR) habib.benbouhenni@enp-oran.dz, Elbarary, Z. M. S.3 (AUTHOR), Colak, Ilhami4 (AUTHOR), Tafticht, Tahar1 (AUTHOR), Mohammed, Salman Arafath3 (AUTHOR)
Source: Energy Science & Engineering. Feb2026, Vol. 14 Issue 2, p999-1021. 23p.
Subject Terms: *Wind turbines, *Induction generators, *Electronic controllers, *Field orientation principle, *Electric power management, *Particle swarm optimization, *Mathematical optimization
Abstract: The conventional direct field‐oriented control (DFOC) strategy using proportional–integral (PI) regulators for managing the energy of a doubly fed induction generator (DFIG) in wind turbine systems often proves inadequate due to the PI controller's sensitivity to parameter variations. Additionally, it tends to produce lower‐quality energy output. To address these shortcomings, this study proposes a novel control strategy that combines two fractional‐order controllers: a fractional‐order proportional‐derivative (FOPD) regulator and a fractional‐order integral dual‐derivative (FOIDD) regulator. These regulators are valued for their simplicity, low cost, and ease of implementation. The hybrid FOPD–FOIDD approach aims to enhance the performance and robustness of the traditional DFOC‐PI control applied to DFIG‐based wind turbine systems, enabling improved power regulation and dynamic response. To further optimize the designed control system, Particle Swarm Optimization is used to fine‐tune the controller parameters, ensuring efficient and stable power generation under varying and dynamic wind conditions. The new regulator replaces the classical PI in the DFOC scheme for the rotor‐side converter of the DFIG. The design and simulations were realized in MATLAB, and results were rigorously compared with those of the DFOC‐PI system under diverse operating conditions, including variations in active power reference, rapid wind speed changes, and parameter uncertainties. The comparative analysis demonstrates that the proposed FOPD–FOIDD controller significantly outperforms the DFOC‐PI. Simulation results show major improvements in dynamic performance, including reductions in current harmonic distortion by up to 87.55% and 14.14%, and substantial decreases in active power, torque, and reactive power ripples—by 93.18%, 92.42%, and 74.99%, respectively. Overall, the new control strategy exhibits superior robustness and stability, maintaining high‐quality power generation despite unpredictable variations in generator parameters. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Label: Title
  Group: Ti
  Data: Improving the Characteristics of the Direct FOC Strategy in DFIG‐Based Wind Turbine Systems Using FOIDD and FOPD Controllers.
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  Data: <searchLink fieldCode="AR" term="%22Gasmi%2C+Hamza%22">Gasmi, Hamza</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Benbouhenni%2C+Habib%22">Benbouhenni, Habib</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> habib.benbouhenni@enp-oran.dz</i><br /><searchLink fieldCode="AR" term="%22Elbarary%2C+Z%2E+M%2E+S%2E%22">Elbarary, Z. M. S.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Colak%2C+Ilhami%22">Colak, Ilhami</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tafticht%2C+Tahar%22">Tafticht, Tahar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mohammed%2C+Salman+Arafath%22">Mohammed, Salman Arafath</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Feb2026, Vol. 14 Issue 2, p999-1021. 23p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br />*<searchLink fieldCode="DE" term="%22Induction+generators%22">Induction generators</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronic+controllers%22">Electronic controllers</searchLink><br />*<searchLink fieldCode="DE" term="%22Field+orientation+principle%22">Field orientation principle</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+management%22">Electric power management</searchLink><br />*<searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The conventional direct field‐oriented control (DFOC) strategy using proportional–integral (PI) regulators for managing the energy of a doubly fed induction generator (DFIG) in wind turbine systems often proves inadequate due to the PI controller's sensitivity to parameter variations. Additionally, it tends to produce lower‐quality energy output. To address these shortcomings, this study proposes a novel control strategy that combines two fractional‐order controllers: a fractional‐order proportional‐derivative (FOPD) regulator and a fractional‐order integral dual‐derivative (FOIDD) regulator. These regulators are valued for their simplicity, low cost, and ease of implementation. The hybrid FOPD–FOIDD approach aims to enhance the performance and robustness of the traditional DFOC‐PI control applied to DFIG‐based wind turbine systems, enabling improved power regulation and dynamic response. To further optimize the designed control system, Particle Swarm Optimization is used to fine‐tune the controller parameters, ensuring efficient and stable power generation under varying and dynamic wind conditions. The new regulator replaces the classical PI in the DFOC scheme for the rotor‐side converter of the DFIG. The design and simulations were realized in MATLAB, and results were rigorously compared with those of the DFOC‐PI system under diverse operating conditions, including variations in active power reference, rapid wind speed changes, and parameter uncertainties. The comparative analysis demonstrates that the proposed FOPD–FOIDD controller significantly outperforms the DFOC‐PI. Simulation results show major improvements in dynamic performance, including reductions in current harmonic distortion by up to 87.55% and 14.14%, and substantial decreases in active power, torque, and reactive power ripples—by 93.18%, 92.42%, and 74.99%, respectively. Overall, the new control strategy exhibits superior robustness and stability, maintaining high‐quality power generation despite unpredictable variations in generator parameters. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/ese3.70398
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 999
    Subjects:
      – SubjectFull: Wind turbines
        Type: general
      – SubjectFull: Induction generators
        Type: general
      – SubjectFull: Electronic controllers
        Type: general
      – SubjectFull: Field orientation principle
        Type: general
      – SubjectFull: Electric power management
        Type: general
      – SubjectFull: Particle swarm optimization
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
    Titles:
      – TitleFull: Improving the Characteristics of the Direct FOC Strategy in DFIG‐Based Wind Turbine Systems Using FOIDD and FOPD Controllers.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Gasmi, Hamza
      – PersonEntity:
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            NameFull: Benbouhenni, Habib
      – PersonEntity:
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            NameFull: Elbarary, Z. M. S.
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            NameFull: Colak, Ilhami
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            NameFull: Tafticht, Tahar
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            NameFull: Mohammed, Salman Arafath
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          Dates:
            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 20500505
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              Value: 14
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Energy Science & Engineering
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