Permanent Fault Identification Scheme for Transmission Lines Based on Amplitude Difference for LCC Injection Signal
A permanent fault identification scheme based on LCC signal injection for high-voltage direct current (HVDC) systems is proposed to avoid secondary damage when it recloses to a permanent fault. Firstly, using the fault control ability of LCC, the additional control strategy is applied to the trigger angle of LCC to realize signal injection. The frequency, duration, and amplitude of the injection signal are analyzed and determined, and a signal injection strategy based on LCC is proposed. Secondly, the differences in voltage after signal injection under different fault properties are analyzed under the distributed parameter model. There is a significant difference in the amplitude of the measured voltage at the local end and the calculated voltage at the remote end under different fault properties due to differences in line models. Finally, a normalized area differential is constructed based on the above amplitude difference to realize permanent fault identification. PSCAD/EMTDC simulation results show that the proposed scheme utilizes single end data and is not affected by data communication. There is no need to set a threshold through simulation, and it can reliably identify permanent faults under 400 Ω fault resistance and 40 dB noise. It is suitable for line lengths of 1500 km and below.
Authors
- Shuobo Zhang
- Qi Zhao (ORCID: https://orcid.org/0009-0001-9146-0189)
- Jinlong Tan
- Jie Zhou (ORCID: https://orcid.org/0000-0001-5882-3649)
- Lu Zhang (ORCID: https://orcid.org/0000-0001-5696-2418)
- Jun Chen (ORCID: https://orcid.org/0000-0002-3439-0495)
Institutions
- Inner Mongolia Electric Power (China) (CN)
Publication Details
- Journal
- Electronics
- Published
- 2025-09-04
- DOI
- https://doi.org/10.3390/electronics14173526
- Citations
- 1
- Primary Topic
- HVDC Systems and Fault Protection
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- Electric Power Research Institute
- National Natural Science Foundation of China