<p>The rapid growth of renewable energy requires wind generation systems to provide autonomous grid support especially under weak grid conditions. This paper proposes an active disturbance rejection control (ADRC) strategy for grid-forming converters in doubly fed induction generator systems to enhance voltage and frequency regulation. Using an extended state observer, the controller estimates and compensates total disturbances including parameter uncertainties and grid fluctuations in real time. Lyapunov-based stability analysis confirms the closed-loop stability and bounded error dynamics. Comparative evaluation with conventional proportional-integral control and sliding mode control shows that ADRC achieves up to 60% faster rise and settling times, about 70% lower overshoot and over 90% reduction in integral error indices. The proposed method ensures improved transient response, enhanced dynamic performance and robustness under grid disturbances and weak grid scenarios. The effectiveness of the controller is validated through MATLAB/Simulink simulations and real-time testing on a real-time digital simulator.</p>

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Enhancing the resilience of grid-forming-based wind power plant using active disturbance rejection control strategy

  • A. Priyadarshini,
  • R. P. Kumudini Devi

摘要

The rapid growth of renewable energy requires wind generation systems to provide autonomous grid support especially under weak grid conditions. This paper proposes an active disturbance rejection control (ADRC) strategy for grid-forming converters in doubly fed induction generator systems to enhance voltage and frequency regulation. Using an extended state observer, the controller estimates and compensates total disturbances including parameter uncertainties and grid fluctuations in real time. Lyapunov-based stability analysis confirms the closed-loop stability and bounded error dynamics. Comparative evaluation with conventional proportional-integral control and sliding mode control shows that ADRC achieves up to 60% faster rise and settling times, about 70% lower overshoot and over 90% reduction in integral error indices. The proposed method ensures improved transient response, enhanced dynamic performance and robustness under grid disturbances and weak grid scenarios. The effectiveness of the controller is validated through MATLAB/Simulink simulations and real-time testing on a real-time digital simulator.