Enhanced Voltage Stability and Fault Ride-Through Capability in Wind Energy Systems Using FACTS Device Integration

In modern power systems, FACTS tools are essential for addressing voltage variation along with fault ride-through (FRT) challenges within the electrical power systems, particularly for wind generation integration. Several prominent publications emphasize that the squirrel cage induction generator (SCIG) currently comprises about 15% of operational wind turbines. This research proposes the use of FACTS devices to boost voltage stability and FRT capability. The implementation of these devices leads to improved efficiency in the electrical power system. This study considers many events, including an ideal wind profile, turbulent wind profile, symmetrical faults, and unsymmetrical faults, to support the proposed selection. Furthermore, the proposed approach is evaluated by comparison between a fixed capacitor, static synchronous compensator (STATCOM), and Static VAR Compensator (SVC) to guarantee the achievement of voltage stability, reactive power consumption, and FRT capacity under various wind speed profiles and fault conditions. An overall evaluation is conducted to compare them in all examined circumstances and to highlight their advantages and effects. The simulation findings demonstrate the efficacy and primacy of FACTS in enhancing the functioning of an integrated wind system, which is built upon a grid-connected SCIG, as well as enhancing the power system performance. The MATLAB/Simulink toolbox is used to design the models of SCIG, SVC, and STATCOM.

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Publication Details

Journal
Machines
Published
2025-09-03
DOI
https://doi.org/10.3390/machines13090805
Citations
2
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
2.43

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article

Enhanced Voltage Stability and Fault Ride-Through Capability in Wind Energy Systems Using FACTS Device Integration

Nilaykumar A. Patel, Mangal Sain, Jigar Patel, Jigar Sarda et al.
2 citations
Machines
Real-time simulation and control systems
2.43
article

Enhanced Voltage Stability and Fault Ride-Through Capability in Wind Energy Systems Using FACTS Device Integration

Nilaykumar A. Patel, Mangal Sain, Jigar Patel, Jigar Sarda, Kepal N. Patel
article en
2 citations

Abstract

In modern power systems, FACTS tools are essential for addressing voltage variation along with fault ride-through (FRT) challenges within the electrical power systems, particularly for wind generation integration. Several prominent publications emphasize that the squirrel cage induction generator (SCIG) currently comprises about 15% of operational wind turbines. This research proposes the use of FACTS devices to boost voltage stability and FRT capability. The implementation of these devices leads to improved efficiency in the electrical power system. This study considers many events, including an ideal wind profile, turbulent wind profile, symmetrical faults, and unsymmetrical faults, to support the proposed selection. Furthermore, the proposed approach is evaluated by comparison between a fixed capacitor, static synchronous compensator (STATCOM), and Static VAR Compensator (SVC) to guarantee the achievement of voltage stability, reactive power consumption, and FRT capacity under various wind speed profiles and fault conditions. An overall evaluation is conducted to compare them in all examined circumstances and to highlight their advantages and effects. The simulation findings demonstrate the efficacy and primacy of FACTS in enhancing the functioning of an integrated wind system, which is built upon a grid-connected SCIG, as well as enhancing the power system performance. The MATLAB/Simulink toolbox is used to design the models of SCIG, SVC, and STATCOM.

MachinesVol. 13(9)
Dongseo University (KR), Charotar University of Science and Technology (IN)
Dongseo University
Openalex Percentile: Top 10%
Real-time simulation and control systems
2.43
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Enhanced Voltage Stability and Fault Ride-Through Capability in Wind Energy Systems Using FACTS Device Integration — Nilaykumar A. Patel, Mangal Sain, et al. · Machines (2025) | TGRS Research Map | TGRS