AC voltage and reactive power control in DFIG-based wind farms: A comparative study for mitigating sub-synchronous resonance in compensated and weak networks

Integrating Doubly-Fed Induction Generator (DFIG)-based wind farms into weak and series-compensated systems may introduce significant subsynchronous resonance (SSR) risks, compromising system stability. This paper presents a detailed comparative analysis of two control strategies, reactive power control, and AC voltage control, implemented in the outer control loops related to the grid side converter (GSC) to mitigate SSR in DFIG-based systems. The comparisons are based on modal analysis, and the dynamic risk of SSR is investigated by evaluating several operating conditions and key control parameters. This includes different levels of series compensation, weakness, phase-locked loop (PLL) bandwidth, and current control parameters associated with the rotor-side converter (RSC). The results demonstrate that AC voltage control provides superior dynamic performance and less SSR risk damping, especially in highly compensated grids where reactive power control is unstable. Furthermore, sensitivity analysis highlights the critical role of RSC tuning and PLL bandwidth in maintaining system stability to avoid SSR risks. These findings offer practical insights for control design strategies in DFIG-based wind farms, particularly for applications in weak and compensated grids, enhancing grid reliability and reducing the risk of SSR.

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Publication Details

Journal
Energy Reports
Published
2025-06-24
DOI
https://doi.org/10.1016/j.egyr.2025.06.005
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

AC voltage and reactive power control in DFIG-based wind farms: A comparative study for mitigating sub-synchronous resonance in compensated and weak networks

Jacqueline Rosario Llanos, Marcelo Cortés-Carmona, A. Villamarin-Jacome, D. Ortiz-Villalba et al.
2 citations
Energy Reports
Microgrid Control and Optimization
2.43
article

AC voltage and reactive power control in DFIG-based wind farms: A comparative study for mitigating sub-synchronous resonance in compensated and weak networks

Jacqueline Rosario Llanos, Marcelo Cortés-Carmona, A. Villamarin-Jacome, D. Ortiz-Villalba, Jorge Vega-Herrera, Danny Espín-Sarzosa, Stevens Fuentes-Flores
article en
2 citations

Abstract

Integrating Doubly-Fed Induction Generator (DFIG)-based wind farms into weak and series-compensated systems may introduce significant subsynchronous resonance (SSR) risks, compromising system stability. This paper presents a detailed comparative analysis of two control strategies, reactive power control, and AC voltage control, implemented in the outer control loops related to the grid side converter (GSC) to mitigate SSR in DFIG-based systems. The comparisons are based on modal analysis, and the dynamic risk of SSR is investigated by evaluating several operating conditions and key control parameters. This includes different levels of series compensation, weakness, phase-locked loop (PLL) bandwidth, and current control parameters associated with the rotor-side converter (RSC). The results demonstrate that AC voltage control provides superior dynamic performance and less SSR risk damping, especially in highly compensated grids where reactive power control is unstable. Furthermore, sensitivity analysis highlights the critical role of RSC tuning and PLL bandwidth in maintaining system stability to avoid SSR risks. These findings offer practical insights for control design strategies in DFIG-based wind farms, particularly for applications in weak and compensated grids, enhancing grid reliability and reducing the risk of SSR.

Energy ReportsVol. 14
Universidad de las Fuerzas Armadas ESPE (EC), Universidad de Antofagasta (CL), University of Chile (CL), Federico Santa María Technical University (CL)
Comisión Nacional de Investigación Científica y Tecnológica, Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias
Affordable and clean energy
Openalex Percentile: Top 11%
Microgrid Control and Optimization
2.43
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