电力系统最大Lyapunov特征指数的可行计算

Brendan Hayes, F. Milano
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引用次数: 3

摘要

随机微分代数方程(SDAEs)用于电力系统的建模。然而,目前还没有普遍接受的方法来正确评估这类模型的稳定性。讨论了包含随机过程的电力系统的最大李雅普诺夫特征指数(LCE)计算的理论和数值方面,作为一种提供稳定性度量的方法。为了利用并行性、稀疏性和低内存要求,采用了电力系统的半隐式公式。本文考虑了三个案例研究,其中两个基于IEEE 14总线系统,以及爱尔兰全岛输电网的1479总线模型。
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Viable Computation of the Largest Lyapunov Characteristic Exponent for Power Systems
Stochastic Differential Algebraic Equations (SDAEs) are used to model power systems. However, there is no universally accepted method to properly evaluate the stability of such models. The theoretical and numerical aspects of the computation of the largest Lyapunov Characteristic Exponent (LCE) for power systems with the inclusion of stochastic processes is discussed as a method to provide a measure of stability. A semi-implicit formulation of power systems is employed in order to exploit parallelism, sparsity and to have low memory requirements. Three case studies are considered, two based on the IEEE 14-bus system as well as a 1,479-bus model of the all island Irish transmission grid.
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