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Probing signal design for enhanced damping estimation in power networks

机译:电网增强阻尼估计探测信号设计

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Electromechanical oscillations are inherent to power networks. Although it is possible to partially damp these oscillations, it is impossible to eliminate them completely. This oscillatory behavior can lead to major breakdowns in power networks, especially when the damping is relatively low. It is therefore important to provide accurate estimations of the network?s damping values. These estimation can be obtained via system identification for which a probing signal needs to be designed. This paper presents a framework for designing a specific probing signal that is able to provide accurate damping estimations with a user-defined variance. A power spectrum of the probing signal is determined by solving an optimization problem with Linear Matrix Inequality constraints. The objective function is defined as a weighted sum of the probing signal?s power and a level of disturbance caused by probing the network. A desired level of the damping estimation?s variance is set as a constraint. The time-domain realization of the obtained power spectrum is described by a multisine, which is the actual probing signal applied to the network. The employed framework is demonstrated through nonlinear simulations using the Kundur with an embedded HVDC link and NORDIC 44 networks.
机译:机电振荡是电力网络所固有的。尽管可以部分地抑制这些振荡,但是不可能完全消除它们。这种振荡行为可能导致电力网络的重大故障,特别是当阻尼相对较低时。因此,重要的是提供网络抑制值的准确估计。可以通过系统识别获得这些估计,其需要设计探测信号。本文介绍了设计特定探测信号的框架,其能够提供具有用户定义方差的准确阻尼估计。通过用线性矩阵不等式约束解决优化问题来确定探测信号的功率谱。目标函数被定义为探测信号的加权和由探测网络引起的扰动水平。所需的阻尼估计ΔS方差被设定为约束。通过多语入描述所获得的功率谱的时域实现,这是应用于网络的实际探测信号。使用具有嵌入式HVDC链路和北欧44网络的Kundur的非线性模拟来证明所采用的框架。

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