一种自动生成电网导纳矩阵的通用算法

A. Asrari, M. Alattar, S. Abdelwahed, M. Mazzola
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摘要

本文提出了一种自动生成电网导纳矩阵的通用方法。这是密西西比州立大学和德克萨斯大学奥斯汀分校机电中心(CEM)联合项目的一部分。从在Mathworks软件Simulink (SimPowerSystems)中设计的电气网络开始,并从Simulink作为XML文件输出,我们解析XML文件以获取相关信息(块,连通性和参数)。底层算法包括四个阶段:1)计算每个块中组件的电导值,2)构建表示组件连通性的矩阵,3)为每个节点分配唯一的编号,最后4)使用前面步骤获得的数据计算导纳矩阵。这是支持并行计算工具开发的初步工作,其中电力系统将使用德克萨斯大学开发的称为CEMSolver的工具进行求解。这个联合项目的第二阶段将以这样的方式找到最优的分区系统,即每个分区的矩阵被分配到不同的CPU,并且这些子系统的总CPU使用量将是最小的。因此,电力系统将被划分,每个划分将有自己的导纳矩阵。
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A general algorithm to automatically create admittance matrices for electric networks
In this paper, a general method to automatically create admittance matrices for power electric networks is presented. This is a part of a joint project between Mississippi State University and University of Texas at Austin Center for Electromechanics (CEM). Starting with an electric network designed in the Mathworks software Simulink (SimPowerSystems) and output from Simulink as an XML file, we parse the XML file for the relevant information (blocks, connectivity, and parameters). The underlying algorithm consists of four stages: 1) Calculate the conductance values of the components in each block, 2) Build a matrix representing the connectivity of components, 3) Assign a unique number for each node, and finally 4) Calculate the admittance matrix using the data obtained from the previous steps. This is the initial work to support the development of a parallel computing tool where the power system will be solved using a tool developed by the University of Texas called CEMSolver. The second phase of this joint project will be finding the most optimal partitioned systems in such a way that the matrices of each partition are distributed to different CPUs and the total CPU usage for these subsystems will be minimal. Thus, the power system will be partitioned and each partition will have its own admittance matrix.
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