A dynamical network framework with application to stability of power networks

Dan Wang, Wei Chen, Sei Zhen Khong, Ji Liu, Tamer Basar, Li Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We advocate and motivate in this paper a general framework for studying dynamical networks with both node (agent) and edge (communication) dynamics. Specifically, the agents interact with each other via transfer incident systems and dynamical communication channels. The potential of using the proposed framework to model network problems and architectures is demonstrated by a concrete example. The framework facilitates the study of stability and performance of various network dynamics. An application to angle stability of electrical power networks involving locally positive feedbacks is discussed as an illustrating example.

Original languageEnglish (US)
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2924-2928
Number of pages5
ISBN (Electronic)9781509028733
DOIs
StatePublished - Jan 18 2018
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: Dec 12 2017Dec 15 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period12/12/1712/15/17

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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