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Dual Stepsize Explicit Numerical Integration Method and Applications

机译:双重步骤优化显式数值集成方法和应用

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Numerical integration, or time domain simulation, is an important tool to study dynamical systems. Many dynamical systems are stiff, for instance, electric power systems consist of a variety of components with greatly different time scales. Although explicit integration methods are computationally efficient, they are not commonly used for studying stiff systems, because these methods may have numerical instability problems. In this paper, an explicit numerical integration method with dual stepsizes is proposed for analyzing stiff systems. The algorithm uses a small and a large stepsize to integrate different system components. Under the proposed decomposition, we demonstrate the numerical property and prove that dual stepsize integration is guaranteed to converge for all linear test systems in absolute stability. Thus, the method has both advantages: numerical stability and computational efficiency. The properties of the proposed method are illustrated through a mathematical example and two power system examples.
机译:数值集成或时域模拟,是学习动态系统的重要工具。例如,许多动态系统是僵硬的,例如,电力系统由各种组件组成,具有极大的不同时间尺度。尽管显式积分方法是计算有效的,但它们不常用用于研究僵硬的系统,因为这些方法可能具有数值不稳定问题。本文提出了一种具有双重步骤的显式数值积分方法,用于分析刚性系统。该算法使用小型和大型步骤来集成不同的系统组件。在提出的分解下,我们展示了数值属性,并证明了双重步骤整合,保证为绝对稳定性的所有线性测试系统收敛。因此,该方法具有以下优点:数值稳定性和计算效率。通过数学示例和两个电力系统示例来示出所提出的方法的特性。

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