Enhancing the performance of grid-connected DFIG systems using prescribed convergence law

In this paper, a robust and effective control strategy, termed high-order prescribed convergence law control (HO-PCL), is introduced for wind energy conversion systems. This innovative strategy is applied to the rotor-side converter of a doubly-fed induction generator-based wind power system and is specifically designed to address the limitations of conventional control methods, such as super-twisting algorithm (STA), integral backstepping control (IBCS), and first-order sliding mode control (1-SMC), which are prone to the chattering phenomenon. The HO-PCL strategy facilitates the independent regulation of active and reactive power, with the primary objective of enhancing the system's dynamic response by improving response time and minimizing power error. The effectiveness of the proposed control approach is evaluated through simulations conducted in the MATLAB/Simulink environment and validated via hardware-in-the-loop (HIL) testing under different operating conditions, where the performance and effectiveness are compared with that of the conventional proportional-integral (PI) controller, 1-SMC, and IBCS approaches. Simulation results show that the proposed HO-PCL approach reduces the stator current total harmonic distortion by 94.01, 91.05, and 85% compared to the PI, 1-SMC, and IBCS approaches, respectively. Additionally, it reduces response time by 99.25, 98.96, 93% relative to the same respective methods. Furthermore, the HO-PCL approach significantly improves the ripple and overshoot of power compared to other strategies. The results demonstrate its potential to advance control methodologies in wind power systems by overcoming the drawbacks of conventional techniques.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-05
DOI
https://doi.org/10.1038/s41598-025-13847-x
Citations
8
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
5.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing the performance of grid-connected DFIG systems using prescribed convergence law

Habib Benbouhenni, Nicu Bizon, Saad Mekhilef, Hichem Itouchene et al.
8 citations
Scientific Reports
Wind Turbine Control Systems
5.84
article

Enhancing the performance of grid-connected DFIG systems using prescribed convergence law

Habib Benbouhenni, Nicu Bizon, Saad Mekhilef, Hichem Itouchene, Fayssal Amrane, Zoubir Boudries
article en
8 citations

Abstract

In this paper, a robust and effective control strategy, termed high-order prescribed convergence law control (HO-PCL), is introduced for wind energy conversion systems. This innovative strategy is applied to the rotor-side converter of a doubly-fed induction generator-based wind power system and is specifically designed to address the limitations of conventional control methods, such as super-twisting algorithm (STA), integral backstepping control (IBCS), and first-order sliding mode control (1-SMC), which are prone to the chattering phenomenon. The HO-PCL strategy facilitates the independent regulation of active and reactive power, with the primary objective of enhancing the system's dynamic response by improving response time and minimizing power error. The effectiveness of the proposed control approach is evaluated through simulations conducted in the MATLAB/Simulink environment and validated via hardware-in-the-loop (HIL) testing under different operating conditions, where the performance and effectiveness are compared with that of the conventional proportional-integral (PI) controller, 1-SMC, and IBCS approaches. Simulation results show that the proposed HO-PCL approach reduces the stator current total harmonic distortion by 94.01, 91.05, and 85% compared to the PI, 1-SMC, and IBCS approaches, respectively. Additionally, it reduces response time by 99.25, 98.96, 93% relative to the same respective methods. Furthermore, the HO-PCL approach significantly improves the ripple and overshoot of power compared to other strategies. The results demonstrate its potential to advance control methodologies in wind power systems by overcoming the drawbacks of conventional techniques.

Scientific ReportsVol. 15(1)
University of Béjaïa (DZ), University Ferhat Abbas of Setif (DZ), École Nationale Polytechnique d'Oran (DZ), Swinburne University of Technology (AU)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Wind Turbine Control Systems
5.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.