Identification of broken conductor faults in interconnected transmission systems based on discrete wavelet transform

被引:1
|
作者
Rashad, Basem Abd-Elhamed [1 ]
Ibrahim, Doaa K. [2 ]
Gilany, Mahmoud I. [2 ]
Abdelhamid, Ahmed Sayed [1 ]
Abdelfattah, Wael [1 ]
机构
[1] El Shorouk Acad, Higher Inst Engn El Shorouk City, Dept Elect Power & Machines Engn, Cairo, Egypt
[2] Cairo Univ, Fac Engn, Dept Elect Power Engn, Giza, Egypt
来源
PLOS ONE | 2024年 / 19卷 / 01期
关键词
LINE; SCHEME;
D O I
10.1371/journal.pone.0296773
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Interconnected transmission systems are increasingly spreading out in HV networks to enhance system efficiency, decrease reserve capacity, and improve service reliability. However, the protection of multi-terminal lines against Broken Conductor Fault (BCF) imposes significant difficulties in such networks as the conventional distance relays cannot detect BCF, as the BCF is not associated with a significant increase in current or reduction in voltage Traditionally, the earth fault relays in transmission lines may detect such fault; Nonetheless, it suffers from a long delay time. Moreover, many of the nearby earth fault relays detect the BCF causing unnecessary trips and badly affecting the system stability. In this article, a novel single-end scheme based on extracting transient features from current signals by discrete wavelet transform (DWT) is proposed for detecting BCFs in interconnected HV transmission systems. The suggested scheme unit (SSU) is capable of accurately detecting all types of BCFs and shunt high impedance faults (SHIFs). It also adaptively calculates the applied threshold values. The accurate selectivity in multi-terminal lines is achieved based on a fault directional element by analyzing transient power polarity. The SSU discriminates between internal/external faults effectively utilizing the time difference observed between the first spikes of aerial and ground modes in the current signals. Different fault scenarios have been simulated on the IEEE 9-Bus, 230 kV interconnected system. The achieved results confirm the effectiveness, robustness, and reliability of SSU in detecting correctly BCFs as well as the SHIFs within only 24.5 ms. The SSU has confirmed its capability to be implemented in interconnected systems without any requirement for communication or synchronization between the SSU installed in multi-terminal lines.
引用
收藏
页数:25
相关论文
共 50 条
  • [21] Two novel proposed discrete wavelet transform and filter based approaches for short-circuit faults detection in power transmission lines
    Fathabadi, Hassan
    APPLIED SOFT COMPUTING, 2015, 36 : 375 - 382
  • [22] Application of discrete wavelet transform for detection of ball bearing race faults
    Prabhakar, S
    Mohanty, AR
    Sekhar, AS
    TRIBOLOGY INTERNATIONAL, 2002, 35 (12) : 793 - 800
  • [23] Identification of transmission line faults using wavelet analysis
    El Safty, SM
    Sharkas, MA
    Proceedings of the 46th IEEE International Midwest Symposium on Circuits & Systems, Vols 1-3, 2003, : 1108 - 1111
  • [24] A novel discrete wavelet transform based on traveling wave technique for identifying the fault location for transmission network systems
    Patcharoen, Theerasak
    Ngaopitakkul, Atthapol
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2013, 8 (05) : 432 - 439
  • [25] Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
    Bengharbi, Abdelkader Azzeddine
    Laribi, Saadi Souad
    Allaoui, Tayeb
    Mimouni, Amina
    ELECTRICAL ENGINEERING & ELECTROMECHANICS, 2022, (06) : 42 - 47
  • [26] Harmonic Analysis Based on Discrete Wavelet Transform in Electric Power Systems
    Apetrei, Viorel
    Filote, Constantin
    Graur, Adrian
    2014 NINTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER), 2014,
  • [27] Identification Method for Series Arc Faults Based on Wavelet Transform and Deep Neural Network
    Yu, Qiongfang
    Hu, Yaqian
    Yang, Yi
    ENERGIES, 2020, 13 (01)
  • [28] Detection and classification of open conductor faults in six-phase transmission line using wavelet transform and Naive Bayes classifier
    Shukla, Sunil K.
    Koley, Ebha
    Ghosh, Subhojit
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2017, : 716 - 721
  • [29] An Efficient Transceiver Scheme for SC-FDMA Systems Based on Discrete Wavelet Transform and Discrete Cosine Transform
    Faisal S. Al-Kamal
    Emad S. Hassan
    Mohammed Abd El-Naby
    Farid Shawki
    Said E. El-Khamy
    Moawad I. Dessouky
    Bassiouny M. Sallam
    Saleh A. Alshebeili
    Fathi E. Abd El-samie
    Wireless Personal Communications, 2015, 83 : 3133 - 3155
  • [30] An Efficient Transceiver Scheme for SC-FDMA Systems Based on Discrete Wavelet Transform and Discrete Cosine Transform
    Al-Kamal, Faisal S.
    Hassan, Emad S.
    Abd El-Naby, Mohammed
    Shawki, Farid
    El-Khamy, Said E.
    Dessouky, Moawad I.
    Sallam, Bassiouny M.
    Alshebeili, Saleh A.
    Abd El-Samie, Fathi E.
    WIRELESS PERSONAL COMMUNICATIONS, 2015, 83 (04) : 3133 - 3155