Strengthening Low-Voltage Ride Through Competency of Doubly Fed Induction Generator Driven by Wind Turbine Using Super-Twisting Sliding Mode Control

Power network codes necessitate that any renewable source aligns with LVRT rules and assists in voltage restoration during voltage dips. This paper focuses on increasing the low-voltage ride through capability of a doubly fed induction generator-based wind turbine. Three different controllers are discussed in this article. The first is based on robust super-twisting sliding mode control, which is a recent robust control technique. The second uses a new metaheuristic optimizer called the Arctic Puffin optimizer (APO), and the third relies on the traditional PI controller. The grid-side converter sustains the potential of the DC converter link and the regulation of both the active and reactive power supplied to the power grid via three controllers. The rotor-side converter regulates the generator’s electromagnetic torque via two controllers. Doubly fed induction generator control is a challenging task as the two converters have five controllers, and it is vital to specify the ideal parameters for each controller. In the case of super-twisting sliding mode control, the APO is utilized to obtain the sliding surfaces needed for the five controllers. Moreover, the APO is exploited to obtain the optimal constants of the suggested PI regulators. The simulation results prove the excellent performance of both super-twisting- and APO-based controllers, with better performance demonstrated with super-twisting sliding mode control, which demonstrates excellent transient performance with the least overshoot among the three controllers. The super-twisting-based controller has a distinct feature, as it has good performance with parameter variations.

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Publication Details

Journal
Energies
Published
2025-04-11
DOI
https://doi.org/10.3390/en18081954
Citations
2
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
1.46
Controls
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article

Strengthening Low-Voltage Ride Through Competency of Doubly Fed Induction Generator Driven by Wind Turbine Using Super-Twisting Sliding Mode Control

Ashraf K. Abdelaal, Mohamed A. El‐Hameed
2 citations
Energies
Wind Turbine Control Systems
1.46
article

Strengthening Low-Voltage Ride Through Competency of Doubly Fed Induction Generator Driven by Wind Turbine Using Super-Twisting Sliding Mode Control

Ashraf K. Abdelaal, Mohamed A. El‐Hameed
article en
2 citations

Abstract

Power network codes necessitate that any renewable source aligns with LVRT rules and assists in voltage restoration during voltage dips. This paper focuses on increasing the low-voltage ride through capability of a doubly fed induction generator-based wind turbine. Three different controllers are discussed in this article. The first is based on robust super-twisting sliding mode control, which is a recent robust control technique. The second uses a new metaheuristic optimizer called the Arctic Puffin optimizer (APO), and the third relies on the traditional PI controller. The grid-side converter sustains the potential of the DC converter link and the regulation of both the active and reactive power supplied to the power grid via three controllers. The rotor-side converter regulates the generator’s electromagnetic torque via two controllers. Doubly fed induction generator control is a challenging task as the two converters have five controllers, and it is vital to specify the ideal parameters for each controller. In the case of super-twisting sliding mode control, the APO is utilized to obtain the sliding surfaces needed for the five controllers. Moreover, the APO is exploited to obtain the optimal constants of the suggested PI regulators. The simulation results prove the excellent performance of both super-twisting- and APO-based controllers, with better performance demonstrated with super-twisting sliding mode control, which demonstrates excellent transient performance with the least overshoot among the three controllers. The super-twisting-based controller has a distinct feature, as it has good performance with parameter variations.

EnergiesVol. 18(8)
Suez University (EG), College of Applied Sciences, Nizwa (OM), A'Sharqiyah University
Openalex Percentile: Top 18%
Wind Turbine Control Systems
1.46
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