Power quality monitoring system using wavelet-based neural network

被引：0
|
作者：
Kim, H [1 ]
Lee, J [1 ]
Choi, J [1 ]
Lee, S [1 ]
Kim, J [1 ]
机构：
[1] Chungbuk Natl Univ, Chungbuk, South Korea
来源：
2004 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - POWERCON, VOLS 1 AND 2 | 2004年
关键词：
power quality disturbances; power quality monitoring; wavelet-based neural network; wavelet transform; neural network;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents a wavelet-based neural network technology for the detection and classification of the various types of power quality disturbances. Power quality phenomena are short-time problems and of many varieties. Particularly, the transients happen during very short durations to the nano- and microsecond. Thus, a method for detecting and classifying transient signals at the same time and in an automatic way is recommended. The proposed wavelet network (WN) combines the properties of the wavelet transform and the advantages of neural networks. Especially, the additional feature extraction to improve the recognition rate is considered. The configuration of the hardware of WN (PQ-DAS) and some case studies are described.
引用
收藏
页码：453 / 458
页数：6
相关论文
共 50 条
  • [1] Automatic Power Quality Recognition and Analysis System Using Wavelet-based Neural Network
    Huang Weijian
    Huang Weili
    [J]. PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 3, 2008, : 222 - 225
  • [2] Wavelet-based Neural Network Approach for Power Quality Event Monitoring and Analysis
    Zhao Jianming
    Liu Jinjun
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 1492 - 1494
  • [3] Development of a smart wavelet-based power quality monitoring system
    Carlos Bravo, Juan
    Dolores Borras, Maria
    Javier Torres, Francisco
    [J]. 2018 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST), 2018,
  • [4] Power disturbance classifier using wavelet-based neural network
    Kim, Hongkyun
    Lee, Jinmok
    Choi, Jaeho
    Chung, Gyo-Bum
    [J]. 2006 IEEE POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-7, 2006, : 3279 - +
  • [5] Wavelet-based neural network approach to power quality disturbance recognition
    Kaewarsa, S.
    Attakitmongcol, K.
    [J]. IPEC: 2005 International Power Engineering Conference, Vols 1 and 2, 2005, : 266 - 271
  • [6] Power quality disturbance recognition using wavelet-based neural networks
    Kaewarsa, S.
    Attakitmongcol, K.
    [J]. TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5, 2006, : 1416 - 1420
  • [7] Wavelet-based neural network for power disturbance classification
    Gaing, ZL
    Huang, HS
    [J]. 2003 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-4, CONFERENCE PROCEEDINGS, 2003, : 1621 - 1628
  • [8] Wavelet-Based Neural Network for Recognition of Faults at NHABE Power Substation of the Vietnam Power System
    Bon Nhan Nguyen
    Anh Huy Quyen
    Phuc Huu Nguyen
    Trieu Ngoc Ton
    [J]. 2017 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE), 2017, : 165 - 168
  • [9] Detection of Power Quality Disturbances Using Wavelet-based Convolutional Transformer Network
    Chiam, Dar Hung
    Lim, King Hann
    Law, Kah Haw
    [J]. 2022 INTERNATIONAL CONFERENCE ON GREEN ENERGY, COMPUTING AND SUSTAINABLE TECHNOLOGY (GECOST), 2022, : 150 - 154
  • [10] Wavelet-based neural network for power disturbance recognition and classification
    Gaing, ZL
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2004, 19 (04) : 1560 - 1568
12345