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Adaptive Packet Dropout Compensator for Wide-Area Damping Control: A MIMO Observer-Driven Reduced Copy ApproachBehaviors

机译:用于广域阻尼控制的自适应数据包丢失补偿器:MIMO观测器驱动的精简复制方法

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Wide-Area Measurement and Control Systems (WAMCSs) will have a significant impact on a smart power grid implementation to enhance the power system stability. The dynamic performance of such WAMCSs can significantly deteriorate in presence of data dropout in the remote feedback signals from Phasor Measurement Units. Consideration of such an issue is important for any networked control system for ensuring efficient and reliable operation. To that end, in this paper, a new multi-input multi-output (MIMO) Observer-driven Reduced Copy (ORC) i.e. MIMO-ORC architecture is proposed for wide-area damping control using multiple doubly fed induction generator-based wind farms to mitigate the issue of packet dropout with multiple feedback signals. In this context, the concepts of cyber-physical self-coupling and cross-coupling are introduced and their impact on deterioration of closed-loop performance with data dropout is quantified through an analytical derivation. A framework for stability analysis of MIMO-ORC architecture is also presented. Finally, time-domain simulations show superiority of the proposed approach over its single-input single-output (SISO) ORC counterpart in a WAMCS for power grid.
机译:广域测控系统(WAMCS)将对智能电网的实施产生重大影响,以增强电力系统的稳定性。在相量测量单元的远程反馈信号中存在数据丢失的情况下,此类WAMCS的动态性能可能会大大降低。对于任何网络控制系统来说,考虑这一问题对于确保有效和可靠的操作都是很重要的。为此,在本文中,提出了一种新的多输入多输出(MIMO)观察者驱动的精简副本(ORC),即MIMO-ORC架构,用于基于多个双馈感应发电机的风电场的广域阻尼控制以减轻具有多个反馈信号的分组丢失的问题。在这种情况下,介绍了网络物理自耦合和交叉耦合的概念,并通过分析推导定量了它们对闭环性能随数据丢失而下降的影响。还提出了一种用于MIMO-ORC体系结构稳定性分析的框架。最后,时域仿真显示了该方法在电网WAMCS中优于其单输入单输出(SISO)ORC对应方法的优越性。

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