Feature extraction and visualization of power system transient stability results

Sudipta Dutta, Thomas J Overbye

Research output: Contribution to journalArticlepeer-review

Abstract

Transient stability simulation studies of large-scale power systems often generate large amounts of data. This can make it difficult for power system planners to understand the overall system response or to identify portions of the system with unusual signals. In this paper we present a novel approach that utilizes clustering to extract common features in the voltage magnitude and frequency response signals, and to identify outliers. The geographic visualization of the results is also discussed. Results are demonstrated using the IEEE 118-bus system and a 16000-bus real-world system model.

Original languageEnglish (US)
Article number6621055
Pages (from-to)966-973
Number of pages8
JournalIEEE Transactions on Power Systems
Volume29
Issue number2
DOIs
StatePublished - Mar 1 2014

Keywords

  • Clustering
  • feature extraction
  • model errors
  • power system visualization
  • spark lines
  • transient stability data

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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