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Second-order sliding mode observers for fault reconstruction in power networks

机译:电网故障重构的二阶滑模观测器

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摘要

This study proposes a two-sliding mode (SM) observer to detect and reconstruct a certain class of load altering faults in a power network. The observer design is based on the recently proposed multivariable super-twisting structure. The IEEE benchmark power networks used to test the scheme are modelled as a semi-explicit class of differential algebraic equations (DAEs). For the purpose of developing the detection scheme, only the phase angles of the generators are measured, which represent a subset of the differential states of the DAEs. The objective is to estimate the differential states (the phase angles and frequencies of the generators), the algebraic states (the phase angles of the load bus tensions) and to reconstruct a class of load altering faults affecting the network. The proposed observer is assessed in simulation on two IEEE benchmarks: the 9-bus and 14-bus networks, so as to verify its capability to correctly estimate the differential and algebraic states of the network in spite of its complexity and uncertainty. Moreover, the capability of the proposed scheme to detect the presence of a load altering fault, to exactly identify its position in the network, and to precisely reconstruct the shape of the fault itself is shown and discussed.
机译:这项研究提出了一种双滑动模式(SM)观察器,用于检测和重构电网中的特定类别的负载变化故障。观察者设计基于最近提出的多变量超扭曲结构。用于测试该方案的IEEE基准电源网络被建模为半显式微分代数方程(DAE)。为了开发检测方案,仅测量发生器的相角,这些相角代表DAE的差分状态的子集。目的是估计微分状态(发电机的相角和频率),代数状态(负荷母线张力的相角)并重建影响网络的一类负荷变化故障。拟议的观察者在9总线和14总线网络这两个IEEE基准上进行了仿真评估,以验证其复杂性和不确定性,能够正确估计网络的差分和代数状态。此外,展示并讨论了所提出的方案检测负载变化故障的存在,准确地识别其在网络中的位置以及精确地重建故障本身的形状的能力。

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