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This research aims to demonstrate the importance of reactive power compensation in electrical systems for mitigating fast Flicker voltage disturbances that commonly occur in systems with wind generation; thereby, this paper’s main goal is to improve the quality of distribution systems. The 34-node IEEE test system was chosen as the base system for this study. Simulations were conducted using MATLAB to verify system stability and ensure the system’s nominal voltage matches the design specifications set by the IEEE. The analysis identified bus 27 as having the greatest voltage fluctuation throughout the system. Case studies were conducted on this bus, including the connection of dynamic load and a wind farm (WF) from the MATLAB library, which consists of six 1.5 MW turbines. The Flickermeter in MATLAB, modeled according to IEC-61000 for measuring the short-term Flicker severity index (Pst), was used to evaluate the increase in Pst caused by WF and dynamic loading. To mitigate the flicker severity index, a D-STATCOM of +/−3MVAR based on PID control was implemented. This device was connected to the 34-node IEEE system to reduce the voltage variations produced by both loads.

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Enhanced Reactive Power Compensation for Flicker Mitigation in Wind Farm-Integrated Distribution Networks Using Advanced D-STATCOM Control

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Kevin Joel Vela Palaquibay,
  • Manuel Darío Jaramillo,
  • Diego Carrión

摘要

This research aims to demonstrate the importance of reactive power compensation in electrical systems for mitigating fast Flicker voltage disturbances that commonly occur in systems with wind generation; thereby, this paper’s main goal is to improve the quality of distribution systems. The 34-node IEEE test system was chosen as the base system for this study. Simulations were conducted using MATLAB to verify system stability and ensure the system’s nominal voltage matches the design specifications set by the IEEE. The analysis identified bus 27 as having the greatest voltage fluctuation throughout the system. Case studies were conducted on this bus, including the connection of dynamic load and a wind farm (WF) from the MATLAB library, which consists of six 1.5 MW turbines. The Flickermeter in MATLAB, modeled according to IEC-61000 for measuring the short-term Flicker severity index (Pst), was used to evaluate the increase in Pst caused by WF and dynamic loading. To mitigate the flicker severity index, a D-STATCOM of +/−3MVAR based on PID control was implemented. This device was connected to the 34-node IEEE system to reduce the voltage variations produced by both loads.