An Extended Model for Ecological Robustness to Capture Power System Resilience

Hao Huang, Katherine R. Davis, H. Vincent Poor

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

Abstract

The long-term resilient property of ecosystems has been quantified as ecological robustness (RECO) in terms of the energy transfer over food webs. The RECO of resilient ecosystems favors a balance of food webs' network efficiency and redundancy. By integrating RECO with power system constraints, the authors are able to optimize power systems' inherent resilience as ecosystems through network design and system operation. A previous model used on real power flows and aggregated redundant components for a rigorous mapping between ecosystems and power systems. However, the reactive power flows also determine power systems resilience; and the power components' redundancy is part of the global network redundancy. These characteristics should be considered for RECO-oriented evaluation and optimization for power systems. Thus, this paper extends the model for quantifying RECO in power systems using real, reactive, and apparent power flows with the consideration of redundant placement of generators. Recalling the performance of RECO-oriented optimal power flows under N-x contingencies, the analyses suggest reactive power flows and redundant components should be included for RECO to capture power systems' inherent resilience.

Original languageEnglish (US)
Title of host publication2023 IEEE Power and Energy Society General Meeting, PESGM 2023
PublisherIEEE Computer Society
ISBN (Electronic)9781665464413
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States
Duration: Jul 16 2023Jul 20 2023

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2023-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/TerritoryUnited States
CityOrlando
Period7/16/237/20/23

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Keywords

  • Biological System Modeling
  • Ecosystems
  • Power System Resilience
  • Resilience

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