Combined Classification of Power Quality Disturbances and Power System Faults

被引：0
|
作者：
Shaik, Aslam [1 ]
Reddy, A. Srinivasula [2 ]
机构：
[1] JNUTH, Hyderabad, Andhra Pradesh, India
[2] CMR Engn Coll, Hyderabad, Andhra Pradesh, India
来源：
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年
关键词：
Power Quality Disturbances; Power system Faults; Artificcial intelligence; wavelet; classification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Power Quality has become an important issue for electric utilities and the customers with uninterrupted and reliable supply. Power Quality disturbances such as interruption in line, noise, distortion of waves like voltage sag, voltage swell, harmonics results in malfunction of equipment and causes failure of device. And at times it may cause unnecessary interruption of supply. Thus an intelligent classifier is needed to protect the device and to maintain the uninterrupted supply. This paper deals with the proposal for the development of an intelligent classifier by comparing the wave patterns of various Power Quality Disturbances and Power System Faults. Here ANN is used as classifier and wavelet is used as mechanism. This is modelled and simulated using MATLAB.
引用
收藏
页码：3796 / 3799
页数：4
相关论文
共 50 条
  • [21] Intelligent classification of power quality disturbances in a distribution network
    Panigrahi, B. K.
    Mishra, S.
    TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5, 2006, : 1412 - 1415
  • [22] Classification method of Power Quality Disturbances based on RVM
    Shen, Yue
    Liu, Guohai
    Liu, Hui
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 6130 - 6135
  • [23] Feature selection for identification and classification of power quality disturbances
    Chen, S
    2005 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS, 1-3, 2005, : 2301 - 2306
  • [24] Classification of Power Quality Disturbances Using Forest Algorithm
    Borges, Fabbio
    Silva, Ivan
    Fernandes, Ricardo
    Moraes, Lucas
    DATA MINING AND BIG DATA, DMBD 2016, 2016, 9714 : 247 - 252
  • [25] Power Quality Disturbances Classification Based on Waveform Feature
    Huang, Rixing
    He, Feng
    Chun, Guan
    Jiang, Bo
    2017 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, AUTOMOTIVE AND MATERIALS ENGINEERING (CMAME), 2017, : 280 - 284
  • [26] A Hybrid Approach for Detection and Classification of Power Quality Disturbances
    Chang, P. C.
    Chang, G. W.
    Shih, M. H.
    Chen, Y. Y.
    Hong, Y. H.
    Yeh, Y. K.
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [27] Classification of Power Quality Disturbances by Using Ensemble Technique
    Karasu, Seckin
    Baskan, Saim
    2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 529 - 532
  • [28] Classification of Power Quality Disturbances Using Parzen Kernels
    Mohanty, Mihir Narayan
    Kumar, Vinay
    Routray, Aurobinda
    Kabisatpathy, Prithviraj
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2010, 11 (01):
  • [29] Classification of Power Quality Disturbances via Deep Learning
    Ma, Jian
    Zhang, Jun
    Xiao, Luxin
    Chen, Kexu
    Wu, Jianhua
    IETE TECHNICAL REVIEW, 2017, 34 (04) : 408 - 415
  • [30] Classification of power-quality disturbances in noisy conditions
    Zhan, Y.
    Cheng, H.
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2006, 153 (06) : 728 - 734
12345