将电网建模为伪自适应网络
Modelling power grids as pseudo adaptive networks
摘要：
电网以及具有突触可塑性的神经元网络描述了对我们日常生活非常重要的现实世界系统。在过去的十年里，对这些看似无关的动态网络类型的研究引起了越来越多的关注。在这项工作中，我们利用最近建立的这两种类型的网络之间的关系，深入了解电网网络中的多频集群的动力学特性。为此，我们考虑模型的Kuramoto-Sakaguchi相位振荡器的惯性和描述的出现多集群状态。在此基础上，我们通过引入伪耦合权重的概念，提供了一个新的视角在电网网络中的孤波状态。
英文摘要：
Power grids, as well as neuronal networks with synaptic plasticity, describe real-world systems of tremendous importance for our daily life. The investigation of these seemingly unrelated types of dynamical networks has attracted increasing attention over the last decade. In this work, we exploit the recently established relation between these two types of networks to gain insights into the dynamical properties of multifrequency clusters in power grid networks. For this, we consider the model of Kuramoto-Sakaguchi phase oscillators with inertia and describe the emergence of multicluster states. Building on this, we provide a new perspective on solitary states in power grid networks by introducing the concept of pseudo coupling weights.
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