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This work investigates the application of Fuzzy Logic Control (FLC)-based STATCOM devices to improve the low voltage-ride through capabilities of a grid-connected DFIG-based wind farm, comparing its performance with conventional STATCOM devices. The FLC-based STATCOM was designed and simulated using MATLAB/Simulink. Comparing the output responses of voltage, currents, speed, real power, and reactive power from both the stator and rotor during grid faults, the STATCOM equipped with a fuzzy-PI controller demonstrates superior performance. It shows faster recovery times, adjustable speed profiles, smoother current characteristics, and greater reliability compared to traditional controllers. This research highlights systems that can better manage voltage fluctuations and maintain stable grid integration, thereby improving overall performance and efficiency. The findings underscore the potential of modern control techniques to address complex grid challenges and optimize renewable energy utilization in power systems.

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Static Synchronous Compensator Performance with Fuzzy-PI Based Control

  • 会议论文

  • 发表日期：

    2026年

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  • Indrajeet Kumar,
  • Anand Singh

摘要

This work investigates the application of Fuzzy Logic Control (FLC)-based STATCOM devices to improve the low voltage-ride through capabilities of a grid-connected DFIG-based wind farm, comparing its performance with conventional STATCOM devices. The FLC-based STATCOM was designed and simulated using MATLAB/Simulink. Comparing the output responses of voltage, currents, speed, real power, and reactive power from both the stator and rotor during grid faults, the STATCOM equipped with a fuzzy-PI controller demonstrates superior performance. It shows faster recovery times, adjustable speed profiles, smoother current characteristics, and greater reliability compared to traditional controllers. This research highlights systems that can better manage voltage fluctuations and maintain stable grid integration, thereby improving overall performance and efficiency. The findings underscore the potential of modern control techniques to address complex grid challenges and optimize renewable energy utilization in power systems.