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Parallel-in-time implementation of transient stability simulations on a transputer network

机译:晶片网络上瞬态稳定性仿真的实时并行实现

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The most time consuming computer simulation in power system studies is the transient stability analysis. Parallel processing has been applied for time domain simulations of power system transient behavior. In this paper, a parallel implementation of an algorithm based on Shifted-Picard dynamic iterations is presented. The main idea is that a set of nonlinear Differential Algebraic Equations (DAEs), which describes the system, can be solved by the iterative solution of a linear set of DAEs. The time behavior of the linear set of differential equations can be obtained by the evaluation of the convolution integral. In the parallel-in-time implementation of the proposed algorithm, each processor is devoted to the evaluation of the complete set of variables relative to each time step. The quadrature formula, adopted for the integral evaluation, can be easily parallelized by using a number of processors equal to the number of time steps. The algorithm, implemented on a transputer network with 32 Inmos T800/20 adopting a uni-directional ring topology, has been tested on standard power systems.
机译:电力系统研究中最耗时的计算机仿真是瞬态稳定性分析。并行处理已应用于电力系统瞬态行为的时域仿真。本文提出了一种基于移位皮卡动态迭代算法的并行实现。主要思想是,可以通过线性DAE集的迭代解来解决描述系统的一组非线性微分代数方程(DAE)。线性微分方程组的时间行为可以通过对卷积积分求值来获得。在所提出算法的并行执行中,每个处理器都致力于评估相对于每个时间步长的完整变量集。通过使用等于时间步数的处理器数量,可以很容易地并行化积分评估所采用的正交公式。该算法在采用单向环形拓扑的32 Inmos T800 / 20的晶片机网络上实现,已在标准电源系统上进行了测试。

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