Electric Power ›› 2024, Vol. 57 ›› Issue (10): 78-89.DOI: 10.11930/j.issn.1004-9649.202401043

• Key Technologies for Protection and Control of New Distribution System • Previous Articles     Next Articles

Injection Current Distribution Characteristics Identification Based Distribution-Level Fault Line Selection

Xiaowei WANG1(), Yang YUE1(), Liang GUO2(), Xue WANG1, Yizhao WANG3, Zhihua ZHANG3, Fengfeng YANG4   

  1. 1. School of Electrical Engineering, Xi'an University of Technology, Xi'an 710054, China
    2. Institute of Electric Power Research of Jiangxi Electric Power Company, Nanchang 330000, China
    3. Institute of Electric Power Research of Shaanxi Electric Power Company, Xi'an 710100, China
    4. Zhejiang Electric Transmission & Transformation Co., Ltd., Hangzhou 310020, China
  • Received:2024-01-09 Accepted:2024-04-08 Online:2024-10-23 Published:2024-10-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.52177114).

Abstract:

Addressing the challenges posed by the subtle characteristics of single-phase grounding faults in resonant grounding systems, which lead to decreased sensitivity and reliability in fault line selection methods reliant on these characteristics, an innovative approach for fault line selection through active injection signal identification is proposed. Initially, the distribution characteristics of the injected current, influenced by line-to-ground conductance, are derived. These characteristics then form the foundation for constructing a robust line selection criterion. Furthermore, a thorough analysis is conducted to assess the impact of the injected signal on system operation from various perspectives. This analysis leads to the selection of an optimal injection signal with suitable parameters. Notably, to enhance the method's resilience against transition resistance, a decision is made to inject a low-frequency signal. Subsequently, the zero-sequence current of each feeder line is measured after injecting the signal. A specific steady-state zero-sequence current time window is identified, and the Prony algorithm is employed to accurately discern the 25Hz current amplitude within the zero-sequence current of each line. This approach enables precise fault line selection. Extensive PSCAD simulations and on-site waveform measurements validate the effectiveness of this method. The results demonstrate its ability to accurately identify fault lines across a range of fault scenarios, while maintaining excellent resistance to transition resistance.

Key words: distribution network, single phase ground fault, injection method, Prony algorithm identification, fault line selection