A new utilizing STATCOM to improve wind farm voltage stability

In order to reduce and manage general chaotic oscillations in three-area power system, this publication suggests three-wind farm with a static synchronous compensator (STATCOM). Improved Sparrow Search Algorithm (ISSA) technique is used in conjunction with suggested hybrid approach. The main goal of the suggested method is to minimize errors and maximize system performance. By controlling the voltage and raising the system’s power-factor, the STATCOM improves power quality and lowers losses. The wind farm’s location and size are optimized using the ISSA. The ISSA is used to improve STATCOM’s parameters. In addition to offering a green energy source, wind farms using STATCOM can enhance the grid’s stability and dependability. The system is susceptible to three-phase faults even when it is optimally compensated. Along with shift in reference voltage and electric torque, zero damping is another disruption. In order to thoroughly assess the wind farms’ efficacy in lowering the overall chaotic oscillations, disturbances are designed to replicate the worst-case scenarios. A controller that independently regulates AC and DC currents controls gate signal in Wind STATCOM. Next, MATLAB is used to implement suggested method’s performance. Simulation analysis shows that suggested method has a very good settling time, which is less than the current one. The system is subjected to a fault and corrected to an optimal level of 78%. Additional disruptions of a 17% shift in electric torque and the reference voltage accompany zero dampings.

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Publication Details

Journal
Scientific Reports
Published
2026-10-09
DOI
https://doi.org/10.1038/s41598-026-75114-x
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
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article

A new utilizing STATCOM to improve wind farm voltage stability

Bilal Naji Alhasnawi, Vladimír Bureš, Alžběta Dočekalová, Raad Z. Homod et al.
Scientific Reports
Power System Optimization and Stability
article

A new utilizing STATCOM to improve wind farm voltage stability

Bilal Naji Alhasnawi, Vladimír Bureš, Alžběta Dočekalová, Raad Z. Homod, Firas Faeq K. Hussain
article en

Abstract

In order to reduce and manage general chaotic oscillations in three-area power system, this publication suggests three-wind farm with a static synchronous compensator (STATCOM). Improved Sparrow Search Algorithm (ISSA) technique is used in conjunction with suggested hybrid approach. The main goal of the suggested method is to minimize errors and maximize system performance. By controlling the voltage and raising the system’s power-factor, the STATCOM improves power quality and lowers losses. The wind farm’s location and size are optimized using the ISSA. The ISSA is used to improve STATCOM’s parameters. In addition to offering a green energy source, wind farms using STATCOM can enhance the grid’s stability and dependability. The system is susceptible to three-phase faults even when it is optimally compensated. Along with shift in reference voltage and electric torque, zero damping is another disruption. In order to thoroughly assess the wind farms’ efficacy in lowering the overall chaotic oscillations, disturbances are designed to replicate the worst-case scenarios. A controller that independently regulates AC and DC currents controls gate signal in Wind STATCOM. Next, MATLAB is used to implement suggested method’s performance. Simulation analysis shows that suggested method has a very good settling time, which is less than the current one. The system is subjected to a fault and corrected to an optimal level of 78%. Additional disruptions of a 17% shift in electric torque and the reference voltage accompany zero dampings.

Scientific Reports
University of Basrah (IQ), Thi Qar University (IQ), Al-Furat Al-Awsat Technical University (IQ), Al-Muthanna University (IQ), University of Hradec Králové (CZ)
Openalex Percentile: Top 23%
Power System Optimization and Stability
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A new utilizing STATCOM to improve wind farm voltage stability — Bilal Naji Alhasnawi, Vladimír Bureš, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS