Grid-adaptive equivalencing of power system for generator tripping

Daham Min, Kyeon Hur, Seog Joo Kim

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

1 Citation (Scopus)

Abstract

This paper presents a practical yet accurate equivalencing method of power system for an online transient stability assessment. The proposed vector composition method effectively aggregates the multiple generators and transmission lines of the power system, and develops a grid-adaptive equivalent for which well-established analysis technique can be applied to assess the power system stability. It thus allows for activating preventive or corrective measures on time to stabilize the system in emergency. The parameters of the equivalent can be refined using the synchronized measurement data, and the transient stability margin can be updated. The efficacy and accuracy are validated for a multi-machine infinite bus system, and the utility planning model of Korea electric power system where an equal area criterion and the generator tripping are employed for assessing the stability and stabilizing action as specified in the special protection schemes for the Korea electric power system.

Original languageEnglish
Title of host publication2014 IEEE PES General Meeting / Conference and Exposition
PublisherIEEE Computer Society
EditionOctober
ISBN (Electronic)9781479964154
DOIs
Publication statusPublished - 2014 Oct 29
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: 2014 Jul 272014 Jul 31

Publication series

NameIEEE Power and Energy Society General Meeting
NumberOctober
Volume2014-October
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2014 IEEE Power and Energy Society General Meeting
Country/TerritoryUnited States
CityNational Harbor
Period14/7/2714/7/31

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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

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