Feature extraction of WAMS transient signals for grasping system responses

Author

Xinyu Liu ; Qibin Bo ; Xiaora Wang

Author_Institution

Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China

fYear

2014

fDate

20-22 Oct. 2014

Firstpage

943

Lastpage

948

Abstract

Large scale systems often generate a large number of transient signals when disturbances occur, so it is important to grasp the overall response of the system and identify distinct response. This paper presents an idea that utilizes Geometric Template Matching and QT clustering to grasp the similar response in order to reduce the volume of data needed analysis and to detect outliers. Finally, results are demonstrated using the IEEE 127-bus system and a real-world system model.

Keywords

feature extraction; pattern clustering; pattern matching; power system faults; power system measurement; power system transients; signal processing; IEEE 127-bus system; QT clustering; WAMS transient signals; data needed analysis; feature extraction; geometric template matching; grasping system responses; large scale systems; outlier detection; real-world system model; wide-area measurement system; Clustering algorithms; Educational institutions; Feature extraction; Generators; Time series analysis; Transient analysis; Clustering; feature extraction; outliers; transient signals;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology (POWERCON), 2014 International Conference on

Conference_Location

Chengdu

Type

conf

DOI

10.1109/POWERCON.2014.6993918

Filename

6993918