High-impedance fault detection on downed conductor in overhead distribution networks

被引:7
|
作者
Wontroba, Aldair [1 ]
Morais, Adriano Peres [1 ]
Cardoso, Ghendy Junior [1 ]
Farias, Patrick Escalante [3 ]
Gallas, Marion [1 ]
Rossini, Jean Pereira [1 ]
Vieira, Joao Paulo Abreu [2 ]
机构
[1] Univ Fed Santa Maria, Dept Elect Engn, Santa Maria, Rio Grande do S, Brazil
[2] Fed Univ Para, Dept Elect Engn, Belem, Para, Brazil
[3] Fed Inst Rio Grande do Sul, Farroupilha, Rio Grande do S, Brazil
关键词
Electric distribution networks; Downed conductor; High impedance faults detection; Real-time digital simulation;
D O I
10.1016/j.epsr.2022.108216
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
High impedance faults (HIF) may occur in the medium voltage distribution systems and constitute a danger to human beings. Many cases of HIF are caused due to downed power cables in the distribution network. These cables in contact with the ground generate a great risk to the population, animals and fire risk. In this paper, a methodology for detecting HIF, generated by cable breakage, is presented. The algorithm is based on the analysis of the harmonic and symmetrical components of the current. The method aims to gain reliability in HIF detection, where the detection of conductor breakage incorporated into the method allows a better distinction of HIF from other events. A distribution network based on a Brazilian real feeder was implemented, as well as two well know HIF models. The method is validated using real-time digital simulations and hardware implementa-tion, or HIL (hardware-in-the-loop) concept with OPAL-RT real-time simulator. A comparison with other methods is also performed in order to evaluate the performance of the method. The results show that the pro-posed methodology has presented a better performance under different types of HIF, models of HIF, and achieved a general accuracy of 90% and security of 100% for the tests performed.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] High-Impedance Fault Identification on Distribution Networks
    Santos, W. C.
    Lopes, F. V.
    Brito, N. S. D.
    Souza, B. A.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2017, 32 (01) : 23 - 32
  • [2] Explainable incremental learning for high-impedance fault detection in distribution networks
    Bai, Hao
    Gao, Jian-Hong
    Liu, Tong
    Guo, Zi-Yi
    Guo, Mou-Fa
    COMPUTERS & ELECTRICAL ENGINEERING, 2025, 122
  • [3] Active High-Impedance Fault Detection Method for Resonant Grounding Distribution Networks
    Yao, Zhiwei
    Liu, Yang
    Chen, Jian
    Ji, Jinpeng
    Zhang, Mengdi
    Gong, Yanyong
    IEEE ACCESS, 2024, 12 : 10932 - 10945
  • [4] Practical high-impedance fault detection on distribution feeders
    Benner, CL
    Russell, BD
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1997, 33 (03) : 635 - 640
  • [5] BROKEN-CONDUCTOR AND HIGH-IMPEDANCE FAULT DETECTION BY HIGH FREQUENCY IMPEDANCE MONITORING.
    Graham, Huber L.
    Carlson, Arthur J.
    Granberg, Thomas A.
    Proceedings of the Annual Reliability and Maintainability Symposium, 1980,
  • [6] High-impedance fault modeling and classification in power distribution networks
    Sousa Carvalho, Jose Genilson
    Almeida, Aryfrance Rocha
    Ferreira, Danton Diego
    dos Santos Jr, Bartolomeu Ferreira
    Pereira Vasconcelos, Luis Henrique
    Sobreira, Danilo de Oliveira
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 204
  • [7] High-impedance fault detection in distribution networks with use of wavelet-based algorithm
    Michalik, Marek
    Rebizant, Waldemar
    Lukowicz, Miroslaw
    Lee, Seung-Jae
    Kang, Sang-Hee
    IEEE TRANSACTIONS ON POWER DELIVERY, 2006, 21 (04) : 1793 - 1802
  • [8] BROKEN-CONDUCTOR AND HIGH-IMPEDANCE FAULT-DETECTION BY HIGH-FREQUENCY IMPEDANCE MONITORING
    GRAHAM, HL
    CARLSON, AJ
    GRANBERG, TA
    IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1980, 99 (04): : 1324 - 1324
  • [9] Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve
    Bai, Hao
    Gao, Jian-Hong
    Li, Wei
    Wang, Kang
    Guo, Mou-Fa
    IEEE SENSORS JOURNAL, 2024, 24 (01) : 427 - 436
  • [10] High-impedance fault detection method based on sparse data divergence discrimination in distribution networks
    Cui, Laixi
    Liu, Yang
    Wang, Lei
    Chen, Jian
    Zhang, Xue
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 223