With the sharp increase of power demand, large-scale blackouts in power grids occur frequently around the world. Cascading failures are the main causes of network outages. Therefore, revealing the complicated cascade mechanism in grids is conducive to design the efficient policy to restrain the failures and further ensure a stable supply of power to users. Motivated by the recent advances of network dynamics, we proposed a framework based Lyapunov stability to analyze the dynamically induced cascading failures in complex networks. We abandoned the assumption that the network is stable in traditional static failure models and then detected that small disturbances actually can trigger cascading failures in unstable networks. What's worse, such failure usually accompanied the overload failure of lines during the equilibriums conversion process. Through the simulation analysis of the Spanish grid, we summarized that the features of this new failure mode include low incidence, large destructiveness, and fast propagation speed. And it usually tends to occur first in edge nodes and subsequently propagate to the central nodes. These features are consistent with the empirical observation of outages in practice.
RL-based Control of UAS Subject to Significant Disturbance
Smart Mechatronics and Robotics research group, Saxion University of Applied Science（智能机电与机器人研究组，萨克斯Ion应用科学大学）；Robotics and Mechatronics research group, Faculty of Electrical Engineering, Mathematics & Computer Science, University of Twente（机器人与机电研究组，电子工程、数学与计算机科学学院，特文特大学）
Nodal Braess's Paradox and Inertia Destabilization with Dynamic Node and Line Failures in Power Grids
Potsdam Institute for Climate Impact Research (PIK)（波茨坦气候影响研究所）；Reiner Lemoine Institut gGmbH（莱纳·莱莫因研究所）；Technische Universität Berlin（柏林工业大学）；Humboldt-Universität zu Berlin（柏林洪堡大学）；Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG（弗劳恩霍夫能源基础设施和岩土技术研究院）
