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Multiscale Simulation of Power System Transients Based on the Matrix Exponential Function

机译:基于矩阵指数函数的电力系统暂态多尺度仿真

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摘要

Power system electro-magnetic transient programs (EMTP) have been popular among researchers and practitioners due to their detailed component modeling and high simulation accuracy for complex system operations. Despite broad applications in simulations with wide range of timescales, the small discretization step of these programs makes their use very time-consuming for system studies with long time span. Facing the increasingly complex power system transient characteristics and simulation demands, a multiscale algorithm that integrates the simulations of the electromagnetic and slower electromechanical transients is desirable. The multiscale simulation algorithm preserves the high fidelity of the EMTP and attains higher efficiency for the overall transient simulation. In this paper, we achieve this goal by exploiting the unique properties of the matrix exponential function. The proposed algorithm is capable of utilizing large step sizes to speed up the simulation of slow dynamics, whereas the fast transients are accurately reconstructed through efficient dense output mechanism, which is built upon the matrix exponential function computation. Numerical studies including a large-scale wind farm simulation are conducted to demonstrate the effectiveness of the proposed multiscale algorithm.
机译:电力系统电磁暂态程序(EMTP)由于其详细的组件建模和对复杂系统操作的高仿真准确性而受到研究人员和从业人员的欢迎。尽管在具有广泛时标的仿真中具有广泛的应用,但是这些程序的离散化步骤很小,因此在长时间跨度的系统研究中使用它们非常耗时。面对日益复杂的电力系统暂态特性和仿真需求,需要一种集成了电磁和较慢的机电暂态仿真的多尺度算法。多尺度仿真算法保留了EMTP的高保真度,并为整体瞬态仿真提供了更高的效率。在本文中,我们通过利用矩阵指数函数的独特属性来实现这一目标。所提出的算法能够利用较大的步长来加快慢速动力学的仿真速度,而快速瞬变则通过基于矩阵指数函数计算的高效密集输出机制得以准确重构。进行了包括大规模风电场仿真在内的数值研究,以证明所提出的多尺度算法的有效性。

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