Open AccessSimulation modelling and feature extraction to voltage compound disturbances by modified generalised S‐transform
Author(s) -
Zhang Shuqing,
Liu Haitao,
Zhang Liguo,
Chen Rongfei,
Li Pan,
Mu Yong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9223
Subject(s) - voltage sag , disturbance (geology) , voltage , power quality , extraction (chemistry) , control theory (sociology) , computer science , frequency domain , resolution (logic) , feature extraction , feature (linguistics) , artificial intelligence , engineering , computer vision , electrical engineering , chromatography , geology , control (management) , paleontology , linguistics , philosophy , chemistry
Voltage sag disturbances are the most important type of disturbance in power quality analysis and the extraction to voltage compound disturbances is more difficult. Here, four composite voltage sag disturbance models are constructed and the feature extraction method by modified generalised S‐transform (GST) is given. By optimising the introduced r‐parameters, it can obtain better time resolution and frequency resolution by the modified GST. Results of simulation experiments and the application in a steel plant main line show that both time domain disturbance and frequency domain disturbance information can be extracted with higher resolution.