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An Aggregation-based Algebraic Multigrid Method for Power Grid Analysis

机译:基于聚合的电网分析代数多重型方法

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This paper develops an aggregation-based algebraic multigrid (AbAMG) method to efficiently analyze the power grids. Different from the conventional algebraic multigrid (AMG) scheme, an innovative constructing method of global inter-grid mapping operator is employed to not only enhance the sparsity of coarse grid operator for reducing the computational complexity but also solve the problem with better convergent rate. The proposed method can solve the circuit with size over two millions in 167.6 CPU seconds (including DC analysis, and transient analysis with 50 time steps), and the maximum error is less than 1%. The significant runtime improvement, over 26X faster than the Induct Wise [1] and over 1.25X faster than the conventional AMG method, and less memory usage, 40% of the memory usage in [1] are demonstrated.
机译:本文开发了基于聚集的代数多重资源范围(ABAMG)方法,以有效地分析电网。不同于传统的代数多国(AMG)方案,采用全局互相界面映射运营商的创新构建方法,不仅可以增强粗网操作者的稀疏性来降低计算复杂性,而且还可以通过更好的收敛速度解决问题。该方法可以在167.6 CPU秒(包括DC分析和50次步骤)中的尺寸以超过两百万的电路(包括DC分析),最大误差小于1%。比传统的AMG方法更快地超过26倍,比传统的AMG方法快26倍,并且较少的内存使用率,在[1]中的内存使用量越来越快,超过26倍。

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