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Implementation of a Genetic Algorithm Optimized Active Disturbance Rejection Control for an Isolated DFIG-Based Wind Energy System

Abstract

In this paper, we present an optimized Active Disturbance Rejection Controller (ADRC) for regulating the output voltage of a Stand-alone Doubly Fed Induction Generator (DFIG)-based Wind Turbine (WT). The Standalone system is connected to a nonlinear load and is subject to wind speed variations. A Genetic Algorithm (GA) is employed to optimize the ADRC parameters in order to minimize tracking errors and overshoot, while also reducing the power consumption associated with DFIG current and voltage. The DFIG and turbine models were developed in MATLAB/Simulink. Both simulation and experimental results demonstrate that the proposed GA-tuned ADRC outperforms the conventional controller.

Research topics

  • Wind Turbine Control Systems
  • Microgrid Control and Optimization
  • Wind Energy Research and Development

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DOI: 10.1109/icsc67755.2025.11334739

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