Critical Clearing Time Sensitivity for Inequality Constrained Systems

Chetan Mishra, Anamitra Pal, Virgilio A. Centeno

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

1 Scopus citations

Abstract

From a stability perspective, a renewable generation (RG)-rich power system is a constrained system. As the quasi-stability boundary of a constrained system is structurally very different from that of an unconstrained system, finding the sensitivity of critical clearing time (CCT) to change in system parameters is very beneficial for a constrained power system, especially for planning/revising constraints arising from system protection settings. In this paper, we derive the first order sensitivity of a constrained power system using trajectory sensitivities of fault-on and post-fault trajectories. The results for the test system demonstrate the dependence between ability to meet angle and frequency constraints, and change in power system parameters such as operating conditions and inertia.

Original languageEnglish (US)
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: Aug 4 2019Aug 8 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States
CityAtlanta
Period8/4/198/8/19

Keywords

  • Constrained systems
  • Nonlinear dynamical systems
  • Power system transient stability

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Critical Clearing Time Sensitivity for Inequality Constrained Systems'. Together they form a unique fingerprint.

Cite this