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<p>This article focuses on solving the composite disturbance and fault estimation issue for power systems in the midst of load disturbances, faults, and multiple attacks through a proportional integral-based estimator approach. At first, multiple observers are configured in light of the intermediate variables to provide the estimations of the faults and disturbances simultaneously. Specifically, the integral loops are unified in the observer to enhance the precision of the estimation. Secondly, in light of the estimated information received from the multiple estimators, a novel disturbance and fault compensator controller is developed, which simultaneously mitigates the faults and disturbances in the system model. Moreover, the control design incorporates the deception and DoS attacks to enhance the robustness. Thirdly, the sufficient conditions ensuring the intended outcomes in a finite-time frame are procured in the terms of linear matrix inequalities. Eventually, simulation results are provided to showcase the potential of the theoretical outcomes.</p>

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Composite disturbance and fault estimation-based load frequency security control design for power systems with multiple attacks: a multiple intermediate estimator approach

  • 期刊论文

  • 发表日期：

    2025年6月30日

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  • Yang Chen,
  • S. Gopinath,
  • K. M. Alaaudeen,
  • P. Ezhilarasi

摘要

This article focuses on solving the composite disturbance and fault estimation issue for power systems in the midst of load disturbances, faults, and multiple attacks through a proportional integral-based estimator approach. At first, multiple observers are configured in light of the intermediate variables to provide the estimations of the faults and disturbances simultaneously. Specifically, the integral loops are unified in the observer to enhance the precision of the estimation. Secondly, in light of the estimated information received from the multiple estimators, a novel disturbance and fault compensator controller is developed, which simultaneously mitigates the faults and disturbances in the system model. Moreover, the control design incorporates the deception and DoS attacks to enhance the robustness. Thirdly, the sufficient conditions ensuring the intended outcomes in a finite-time frame are procured in the terms of linear matrix inequalities. Eventually, simulation results are provided to showcase the potential of the theoretical outcomes.