基于点的直流潮流信号重构NLMS算法

M. Seo, Jaepil Ban, S. W. Kim
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引用次数: 0

摘要

在本文中,我们提出了一种新的归一化最小均方(NLMS)算法的优化问题,其中包括在未测量节点上估计的信号。NLMS算法使用了更多的高频元素和更新方向等信息。同时,也便于其他DSP方法的应用。假设ieee118总线系统的拓扑结构为直流潮流,并对所提出的算法进行了验证。仿真结果表明,该算法收敛速度快,稳态误差小。这将有助于其他电力系统的信号在图形上有不同的频率成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vertex-wise NLMS Algorithm for Signal Reconstruction of DC Power Flow
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.
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