On the Stability of Networked Nonlinear Negative Imaginary Systems with Applications to Electrical Power Systems

Yijun Chen, Kanghong Shi, Ian R. Petersen, Elizabeth L. Ratnam

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

In this paper, we propose employing battery-based feedback control and nonlinear negative imaginary (NI) systems theory to reduce the need for such expansion. By formulating a novel Luré-Postnikov-like Lyapunov function, stability results are presented for the feedback interconnection of two single nonlinear NI systems, while output feedback consensus results are established for the feedback interconnection of two networked nonlinear NI systems based on a network topology. This theoretical framework underpins our design of battery-based control in power transmission systems. We demonstrate that the power grid can be gradually transitioned into the proposed NI systems, one transmission line at a time.

Original languageEnglish
Title of host publication26th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2024
EditorsRodolphe Sepulchre, Malcolm C. Smith
Place of PublicationCambridge UK
PublisherElsevier
Pages220-225
Number of pages6
Volume58
Edition17
DOIs
Publication statusPublished - 2024
Externally publishedYes
EventInternational Symposium on Mathematical Theory of Networks and Systems 2024 - Cambridge, United Kingdom
Duration: 19 Aug 202423 Aug 2024
Conference number: 26th
https://www.sciencedirect.com/journal/ifac-papersonline/vol/58/issue/17 (Proceedings)
https://mtns2024.eng.cam.ac.uk/ (Website)

Publication series

NameIFAC-PapersOnLine
PublisherElsevier - International Federation of Automatic Control (IFAC)
ISSN (Print)2405-8971
ISSN (Electronic)2405-8963

Conference

ConferenceInternational Symposium on Mathematical Theory of Networks and Systems 2024
Abbreviated titleMTNS 2024
Country/TerritoryUnited Kingdom
CityCambridge
Period19/08/2423/08/24
Internet address

Keywords

  • consensus
  • electrical power systems
  • Nonlinear negative imaginary systems
  • stability

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