Litcius/Paper detail

Network-induced multistability through lossy coupling and exotic solitary states

Frank Hellmann, Paul Schultz, Patrycja Jaros, Роман Левченко, Tomasz Kapitaniak, Jürgen Kurths, Yuri Maistrenko

2020Nature Communications92 citationsDOIOpen Access PDF

Abstract

The stability of synchronised networked systems is a multi-faceted challenge for many natural and technological fields, from cardiac and neuronal tissue pacemakers to power grids. For these, the ongoing transition to distributed renewable energy sources leads to a proliferation of dynamical actors. The desynchronisation of a few or even one of those would likely result in a substantial blackout. Thus the dynamical stability of the synchronous state has become a leading topic in power grid research. Here we uncover that, when taking into account physical losses in the network, the back-reaction of the network induces new exotic solitary states in the individual actors and the stability characteristics of the synchronous state are dramatically altered. These effects will have to be explicitly taken into account in the design of future power grids. We expect the results presented here to transfer to other systems of coupled heterogeneous Newtonian oscillators.

Topics & Concepts

MultistabilityBlackoutStability (learning theory)Computer scienceLossy compressionTopology (electrical circuits)Coupling (piping)Distributed computingMaximum power transfer theoremPhysicsPower (physics)Electric power systemStatistical physicsElectrical engineeringNonlinear systemQuantum mechanicsMaterials scienceArtificial intelligenceEngineeringMetallurgyMachine learningNonlinear Dynamics and Pattern FormationNeural dynamics and brain functionNeural Networks Stability and Synchronization
Network-induced multistability through lossy coupling and exotic solitary states | Litcius