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Dynamic analysis of power delivery network with nonlinear components using matrix exponential method

机译:基于矩阵指数法的非线性部件供电网络动态分析

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In this work, we propose a matrix exponential-based time-integration algorithm for dynamic analysis of power delivery network (PDN) with nonlinear components. The presented method is an explicit method and is very competitive for applications compared to traditional low order approximation methods, such as backward Euler method with Newton-Raphson iterations (BE). The proposed method takes comparable number of time steps to complete the whole simulation. Second, the method takes only one LU decomposition per time step while BE requires at least two LU decompositions for the convergence check of solutions of nonlnear system. Moreover, our method does not need to repeat expensive LU decomposition operations when the length of time steps are adjusted for error controls. The experimental results validate our method's efficiency. We observe the reductions of total LU operation number and the simulation runtime.
机译:在这项工作中,我们提出了一种基于矩阵指数的时间积分算法,用于对具有非线性分量的输电网络(PDN)进行动态分析。与传统的低阶逼近方法(例如带有牛顿-拉夫森迭代(BE)的后向欧拉方法)相比,本文提出的方法是一种显式方法,在应用程序中极具竞争力。所提出的方法需要相当数量的时间步长才能完成整个仿真。其次,该方法每个时间步仅进行一次LU分解,而BE至少需要进行两次LU分解才能对非在线系统的解进行收敛性检查。此外,当为误差控制调整了时间步长时,我们的方法不需要重复昂贵的LU分解操作。实验结果验证了我们方法的有效性。我们观察到LU操作总数和模拟运行时间的减少。

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