Intelligent Transient Overvoltages Location in Distribution Systems Using Wavelet Packet Decomposition and General Regression Neural Networks

被引：41
作者：
Chen, Haoyong [1 ]
Assala, Pascal Dieu Seul [2 ]
Cai, Yongzhi [1 ]
Yang, Ping [1 ]
机构：
[1] South China Univ Technol, Sch Elect Power, Guangzhou, Guangdong, Peoples R China
[2] South China Univ Technol, Sch Elect Engn, Guangzhou Coll, Guangzhou, Guangdong, Peoples R China
来源：
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2016年 / 12卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Neural networks (NNs); overvoltage identification; overvoltage location; power distribution systems; wavelet packet decomposition (WPD); TEMPORARY OVERVOLTAGES; DISTRIBUTION LINES; TRANSFORM; OVERCURRENTS; SIGNAL;
D O I：
10.1109/TII.2016.2520909
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Overvoltages are the main causes of damages and accidents in electric power grids. The traditional approach is to install some static protection devices that are passive and cannot identify the overvoltage types or locate where the overvoltage event occurs. In recent years, with the development of smart grids, some online overvoltage monitoring systems have been developed. However, the approaches to data processing still need further development. A novel technique for identification and location of overvoltages in power distribution systems is proposed, which uses capacitor bank energization overvoltages (CBOVs) and ground fault temporary overvoltages (TOVs) as the study cases. The wavelet packet decomposition (WPD) theory is used for frequency band decomposition, and a general regression neural network (GRNN) is used in identification and location. Simulation results based on real-world power distribution systems show that the method is accurate and fast.
引用
收藏
页码：1726 / 1735
页数：10
相关论文
共 38 条
  • [11] Dikoy V., 2002, 21SCC1CIGRE CE
  • [12] Intelligent Optimal Recurrent Wavelet Elman Neural Network Control System for Permanent-Magnet Synchronous Motor Servo Drive
    El-Sousy, Fayez F. M.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (04) : 1986 - 2003
  • [13] Analytical prediction of abnormal temporary overvoltages due to ground faults in MV networks
    Gatta, F. M.
    Geri, A.
    Lauria, S.
    Maccioni, M.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (10) : 1305 - 1313
  • [14] Gopakumar G., 1999, P MINNESOTA POWER SY, V2-4
  • [15] Cold Start Approach for Data-Driven Fault Detection
    Grbovic, Mihajlo
    Li, Weichang
    Subrahmanya, Niranjan A.
    Usadi, Adam K.
    Vucetic, Slobodan
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (04) : 2264 - 2273
  • [16] Hasse P., 2000, OVERVOLTAGE PROTECTI, V33
  • [17] Locating switched capacitor using wavelet transform and hybrid principal component analysis network
    Hong, Ying-Yi
    Chen, Bo-Yuan
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2007, 22 (02) : 1145 - 1152
  • [18] IEEE Standards Association, 2013, 154772013 IEEE STAND
  • [19] Wind Power Forecasting in a Residential Location as Part of the Energy Box Management Decision Tool
    Ioakimidis, Christos S.
    Oliveira, Luis J.
    Genikomsakis, Konstantinos N.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (04) : 2103 - 2111
  • [20] Kachesov V. E., 2002, P 6 RUSS KOR INT S S
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