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Multiplex Networks Centrality Measurements for Microgrids

机译:微电网的多重网络集中度测量

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This paper presents the application of several centrality measurements for single and multiplex networks applied to leader allocation in an alternating current (AC) microgrid (MG). The secondary control for the MG is separated into frequency and power-sharing layer. Some centrality measures are used to determine the importance of nodes in separate layers, then centrality measures for multiplex networks are considered. This data is used to select the leader nodes in the frequency layer. The first eigenvalue of the perturbed matrix is used to determine the diffusivity in the network using those leader nodes. The role of the nodes in the system is verified in a simulated MG model. Degree centrality measures allow defining a set of leader nodes for which the diffusivity is improved, compared to others such as eigenvector and Pagerank.
机译:本文介绍了针对单个和多重网络的几种集中度测量的应用,这些测量应用于交流(AC)微电网(MG)中的领导者分配。 MG的辅助控制分为频率和功率共享层。一些集中度度量用于确定单独层中节点的重要性,然后考虑复用网络的集中度度量。此数据用于选择频率层中的引导节点。扰动矩阵的第一个特征值用于确定使用那些前导节点的网络中的扩散率。在仿真的MG模型中验证了节点在系统中的作用。与其他特征向量和Pagerank相比,度中心度度量允许定义一组扩散性得到改善的引导节点。

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