Power Grid Fault Positioning Technology based on Particle Swarm Optimization

被引：0
|
作者：
Tang Rongbo [1 ]
机构：
[1] Chongqing Tech Coll Water Resources & Elect Engn, Chongqing 402160, Peoples R China
来源：
2014 SIXTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA) | 2014年
关键词：
Power Grid; Fault Positioning; immune particle swarm optimization; CURRENT LIMITING TRANSFORMER; REFLECTOMETRY;
D O I：
10.1109/ICMTMA.2014.111
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Using the transient fault signal to realize the power grid fault location is a hotspot, which plays an important role in rapid recovery of power grid. This paper studies the principle of the wavelet neural network. Because wavelet neural network is easy to fall into local optimum and has the disadvantage of slow convergence rate, it is improved by immune particle swarm algorithm. The improved algorithm is applied to grid fault positioning, and the results show that the accuracy of improved algorithm is obviously superior to accuracy of wavelet neural network. It can provide important reference for the actual power grid fault positioning system.
引用
收藏
页码：301 / 304
页数：4
相关论文
共 50 条
  • [31] Multi-Objective Particle Swarm Optimization Based on Grid Ranking
    [J]. Wang, Wanliang (zjutwwl@zjut.edu.cn), 1600, Science Press (54):
  • [32] Power Transformer Fault Diagnosis Based on Least Squares Support Vector Machine and Particle Swarm Optimization
    Ma, Xio
    [J]. INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 : 624 - 628
  • [33] Particle swarm optimization-based SVM application: Power transformers incipient fault syndrome diagnosis
    Lee, Tsair-Fwu
    Cho, Ming-Yuan
    Shieh, Chin-Shiuh
    Fang, Fu-Min
    [J]. 2006 INTERNATIONAL CONFERENCE ON HYBRID INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS, 2006, : 468 - +
  • [34] Fault Diagnosis of Power Electronic Circuits Based on Improved Particle Swarm Optimization Algorithm Neural Network
    Xiao, Zuming
    Guo, Zhan
    Balyan, Vipin
    [J]. ELECTRICA, 2022, 22 (03): : 365 - 372
  • [35] Reactive Power Optimization Based on Parallel Immune Particle Swarm Optimization
    Yuan, Guili
    Zhu, Lei
    Yu, Tong
    [J]. JOURNAL OF COMPUTERS, 2014, 9 (09) : 2198 - 2205
  • [36] Particle Swarm Optimization Based Approaches to Vehicle-to-Grid Scheduling
    Soares, Joao
    Morais, Hugo
    Vale, Zita
    [J]. 2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [37] Data Streams Clustering Algorithm Based on Grid and Particle Swarm Optimization
    Ke, Luo
    Lin, Wang
    [J]. 2009 INTERNATIONAL FORUM ON COMPUTER SCIENCE-TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS, 2009, : 93 - 96
  • [38] Reactive Power Optimization Based on Hybrid Particle Swarm Optimization Algorithm
    Ali, Mohammad Yunus
    Raahemifar, Kaamran
    [J]. 2012 25TH IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE), 2012,
  • [39] Optimization Scheduling of Power System Based on Improved Particle Swarm Optimization
    Lu, Mengke
    Du, Wei
    Tian, Ruiping
    Li, Deyi
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 945 - 951
  • [40] TV image enhancement technology based on particle swarm optimization
    Yang, Lifang
    Liu, Lin
    [J]. Computer Modelling and New Technologies, 2014, 18 (11): : 447 - 453
12345