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<p>This paper develops a robust memory based separation regime for frequency control and observation of retarded power systems integrated wind energy. The proposed approach aims to restore the stability of the closed-loop system under natural and unexpected changes in load demand and wind energy. With the utilization of networked communication, time delays occur in the control loops of both thermal and renewable generation units, leading to instability in closed-loop systems. We first establish a new mathematical representation of a smart grid that incorporates time delays associated with thermal power plants and wind turbines. In this paper, we propose a novel robust memory observer-based feedback control strategy. The observer robustly and effectively estimates the instantaneous values of unmeasurable states, providing essential information for implementing robust feedback controllers. Furthermore, we derive new stabilizability criteria for synthesizing frequency controllers to ensure grid performance. The proposed scheme is validated through comprehensive simulations using a grid model with thermal and wind turbines.</p>

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Robust Memory Observer based Output Feedback Load Frequency Stabilising Regime for Retard Power Systems with Wind Energy

  • 期刊论文

  • 发表日期：

    2026年3月12日

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  • Hung Quoc Dao,
  • Ngoc Thanh Pham,
  • Viet Tung Nguyen,
  • Minh Duc Vu,
  • Duc Duong Nguyen,
  • Doan Dong Nguyen

摘要

This paper develops a robust memory based separation regime for frequency control and observation of retarded power systems integrated wind energy. The proposed approach aims to restore the stability of the closed-loop system under natural and unexpected changes in load demand and wind energy. With the utilization of networked communication, time delays occur in the control loops of both thermal and renewable generation units, leading to instability in closed-loop systems. We first establish a new mathematical representation of a smart grid that incorporates time delays associated with thermal power plants and wind turbines. In this paper, we propose a novel robust memory observer-based feedback control strategy. The observer robustly and effectively estimates the instantaneous values of unmeasurable states, providing essential information for implementing robust feedback controllers. Furthermore, we derive new stabilizability criteria for synthesizing frequency controllers to ensure grid performance. The proposed scheme is validated through comprehensive simulations using a grid model with thermal and wind turbines.