A wavelet-based fault location technique for aged power cables

被引:0
|
作者
El Din, EST
Gilany, M
Aziz, MMA
Ibrahim, DK
机构
关键词
aged cable; fault location; modal decomposition; travelling waves; wavelet transforms;
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
A novel Wavelet-based Travelling Wave cable fault locator scheme is presented in this paper. Using the theory of wavelet singularity detection as a powerful signal processing tool, the initial arrival of the voltage travelling waves at both sides of the power cable and the second arrival of the travelling waves at the first side can be identified reliably without the need for detection the sign of these waves. The developed wavelet processing is applied on the modal coordinated instead of the phase coordinates. The proposed scheme has the ability to eliminate the effect of the change in the propagation velocity of the travelling waves. This will help solving the problem of cable changing parameters especially the changing of the relative permittivity of the cable over its age. Cable changing parameters causes a large error in all fault location techniques, which use the value of velocity of propagation in calculations. Characteristics of the proposed protection algorithm are analyzed by extensive simulation studies using ATP/EMTP. The obtained results indicate an accepted degree of accuracy for the suggested fault locator. In addition, the results prove that the proposed wavelet-based scheme solves the problem of aging cables with changing parameters over the age of the power cable.
引用
收藏
页码:2485 / 2491
页数:7
相关论文
共 50 条
  • [21] A New Wavelet-Based Approach for Internal Fault Current Identification in Power Transformers
    Monsef, H.
    Lotfifard, S.
    SCIENTIA IRANICA, 2008, 15 (02) : 160 - 169
  • [22] Travelling Wave Fault Location Methods for Power Cables
    Zhao, Xia
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION, 2015, 12 : 675 - 678
  • [23] A Novel Fault Location Method for Power Cables Based on an Unsupervised Learning Algorithm
    Li, Mingzhen
    Bu, Jialong
    Song, Yupeng
    Pu, Zhongyi
    Wang, Yuli
    Xie, Cheng
    ENERGIES, 2021, 14 (04)
  • [24] A wavelet-based procedure for process fault detection
    Lada, EK
    Lu, JC
    Wilson, JR
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2002, 15 (01) : 79 - 90
  • [25] Wavelet-based power quantification approaches
    Driesen, J
    Belmans, R
    IMTC 2002: PROCEEDINGS OF THE 19TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1 & 2, 2002, : 481 - 486
  • [26] Wavelet-Based Power System Stabilizer
    de Sousa Neto, Cecilio Martins
    Costa, Flavio B.
    de Araujo Ribeiro, Ricardo Lucio
    Barreto, Rodrigo Lopes
    Alves Rocha, Thiago de Oliveira
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (12) : 7360 - 7369
  • [27] Wavelet-based power quantification approaches
    Driesen, JLJ
    Belmans, RJM
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2003, 52 (04) : 1232 - 1238
  • [28] A Wavelet-based Event Detection and Location Framework for Enhanced Situational Awareness in Power System
    Singh, Ajeet Kumar
    Fozdar, Manoj
    2016 IEEE ANNUAL INDIA CONFERENCE (INDICON), 2016,
  • [29] A Wavelet-based Denoising Technique for Improved Monitoring and Characterization of Power Quality Disturbances
    Dwivedi, U. D.
    Singh, S. N.
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2009, 37 (07) : 753 - 769
  • [30] Detection and Location of Fault in Microgrid using Discrete Wavelet Transform based Technique
    Banerjee, Sannistha
    Bhowmik, Partha Sarathee
    Bohre, Aashish Kumar
    2022 IEEE 6TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS, CATCON, 2022, : 417 - 421