摘要详情

ID / 提交时间

108 / 2021-10-25 16:31:06

标题

Methodologies of Feature Extraction for Voltage Sags in Power System

关键字

Voltage sag, Feature extraction, S-Transform, Wavelet transform, Convolution neural networks.

主题及专题

Power system and automation > Power system fault simulation and risk assessment

状态

终稿

作者

HAN LIU / Jilin University

Gang Li / Jilin University

Caitang Sun / Jilin University

Xinyu Cao / Jilin University

摘要

This paper presents methodologies of feature extraction for voltage sags in power systems, from several points of view, throughout the recent years. Study some algorithms about extractions and classifiers, and focus on the accuracy and efficiency of the algorithms in this paper. It also summarizes the algorithms whereas it shows the remaining challenges that requires on feature extraction in the further research.

重要日期

会议日期

07月11日

2023

至

08月18日

2023
11月10日 2021

初稿截稿日期
12月10日 2021

注册截止日期
12月11日 2021

报告提交截止日期

主办单位

IEEE IAS

承办单位

IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST