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Vertex-wise NLMS Algorithm for Signal Reconstruction of DC Power Flow

机译:直流功率流信号重构的逐点NLMS算法

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In this paper, we present a novel optimization problem for normalized least-mean square (NLMS) algorithm including the estimated signal at unmeasured nodes by using graph characteristics. The NLMS algorithm uses more information such as high frequency elements and update directions. Also, it is easy to apply other DSP methods. The topology of IEEE 118 bus system is assumed as DC power flow and used to verify the proposed algorithm. The conducted simulation shows the proposed algorithm achieves fast convergence rate and small steady-state error. This will be helpful to other power systems whose signals on graph have various frequency components.
机译:在本文中,我们提出了一种新的针对归一化最小均方(NLMS)算法的优化问题,该算法包括使用图特征的未测节点处的估计信号。 NLMS算法使用更多信息,例如高频元素和更新方向。同样,很容易应用其他DSP方法。 IEEE 118总线系统的拓扑假定为直流潮流,并用于验证所提出的算法。仿真结果表明,该算法具有收敛速度快,稳态误差小的特点。这将有助于其信号在图表上具有各种频率分量的其他电力系统。

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