Feature Extraction and Visualization of Power System Transient Stability Results

Author

Dutta, Suparna ; Overbye, Thomas J.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

Volume

29

Issue

2

fYear

2014

fDate

Mar-14

Firstpage

966

Lastpage

973

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 16 000-bus real-world system model.

Keywords

data visualisation; feature extraction; power engineering computing; power system planning; power system transient stability; 16000-bus real-world system model; IEEE 118-bus system; feature extraction; frequency response signals; geographic visualization; power system planning; power system transient stability; voltage magnitude signals; Clustering algorithms; Feature extraction; Generators; Power system stability; Stability analysis; Transient analysis; Clustering; feature extraction; model errors; power system visualization; spark lines; transient stability data;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2013.2283276

Filename

6621055