Robust Model Predictive Control via LMIs Applied for Damping Low-Frequency Electromechanical Oscillations in Power Systems

Luis Carvalho, Jefferson C. Rezende, M. Costa, Elenilson V. Fortes, Leonardo H. Macedo
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Abstract

This paper proposes the application of robust model predictive control designed via linear matrix inequalities with infinite prediction horizon in the online and offline modes to damp low-frequency electromechanical oscillations and ensure the stability of a single machine infinite bus system modeled using the current sensitivity model. In the simulations performed, an exogenous disturbance in the form of an increase in the mechanical input power on the shaft of the synchronous generator was considered. Moreover, variations in the power demand of the load were also taken into account. With the implemented adjustments, comparisons were performed using graphical analyses of the time response and non-intrusive performance indices. From the obtained results, it was possible to conclude that the application of the proposed control strategy was effective for both simulated modes, with emphasis on the offline mode, which proved to be more efficient than the online mode for this application.
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基于lmi的鲁棒模型预测控制在电力系统低频机电振荡抑制中的应用
本文提出了在线和离线模式下,利用具有无限预测视界的线性矩阵不等式设计的鲁棒模型预测控制来抑制低频机电振荡,并保证采用电流灵敏度模型建模的单机无限母线系统的稳定性。在进行的仿真中,考虑了同步发电机轴上机械输入功率增加的外源干扰。此外,还考虑了负载电力需求的变化。随着实施的调整,使用时间响应和非侵入性性能指标的图形分析进行比较。从得到的结果可以得出结论,所提出的控制策略的应用对两种模拟模式都是有效的,重点是离线模式,在这种应用中,离线模式比在线模式更有效。
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