Time-varying injection shift factors to predict post-contingency dynamic line flows

Abdullah Al-Digs, Sairaj V. Dhople, Yu Christine Chen

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

2 Scopus citations

Abstract

In this paper, we derive analytical closed-form expressions for time-varying generator participation factors that are valid throughout the post-contingency transient period. Combining these with conventional injection shift factors (ISFs) computed at the pre-disturbance steady-state operating point, post-contingency dynamic transmission-line flows after the outage of any one particular asset, such as a generator or load, can be accurately predicted. This is advantageous over conventional ISF-based contingency analysis, which is applicable only for the post-disturbance steady-state operating point. As such, operators can determine whether or not any transmission lines exceed their operational limits during the transient without repeated time-domain simulations for each credible contingency. We validate the proposed methodology via numerical case studies conducted on standard IEEE test systems.

Original languageEnglish (US)
Title of host publication55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages302-306
Number of pages5
ISBN (Electronic)9781538632666
DOIs
StatePublished - Jul 1 2017
Event55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017 - Monticello, United States
Duration: Oct 3 2017Oct 6 2017

Publication series

Name55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
Volume2018-January

Other

Other55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
Country/TerritoryUnited States
CityMonticello
Period10/3/1710/6/17

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