3 / 2024-03-13 17:52:20
Research on low-frequency controlled fault interruption algorithm based on FFRLS
low-frequency power transmission; short-circuit fault; controlled fault interruption; zero crossing prediction; signal-to-noise ratio; sampling frequency
全文录用
Jialin Liu / Dalian University of Technology
Yu Tian / China Electric Power Research Institute
Geyang Liu / State Grid Kunshan County Electric Power Supply Company
Yifan Zhang / Dalian University of Technology
Yongxing Wang / Dalian University of Technology
Enyuan Dong / Dalian University of Technology
As a new type of AC power transmission technology, flexible low-frequency power transmission has the advantages of low line impedance and high transmission capacity. However, in the event of a short circuit fault in the low-frequency power transmission line, the interval between current zero crossings becomes longer and the short-circuit current value is large. It is not conducive to the breaking of circuit breakers. Phase-controlled technology enables the control of circuit breakers to break at the target phase. This reduces the arcing time of circuit breakers and enhances their breaking capacity.A low-frequency short-circuit fault model is established in this paper. The fault current parameter estimation and zero-crossing prediction method based on forgetting factor recursive least square are applied. The hypothesis test is used for fault initiation time judgment and current parameter validity verification. The influence of current signal-to-noise ratio and sampling frequency on algorithm accuracy is studied. Multiple sets of simulations are conducted within the 40dB to 80dB SNR range. The results show that higher SNR leads to smaller errors. When the SNR is above 60dB, the algorithm converges quickly. And the zero-crossing prediction error can be maintained within ±0.5ms. The comparison simulation is performed for sampling frequencies between 4kHz and 10kHz. It reveals that the sampling frequency has minimal impact on algorithm accuracy. The convergence speed of the algorithm at different sampling frequencies is not significantly different. Sampling frequency can be selected according to practical conditions. The low-frequency controlled fault interruption algorithm based on forgetting factor recursive least square can meet the requirements of low-frequency short-circuit breaking.
重要日期
  • 会议日期

    11月10日

    2024

    11月13日

    2024

  • 11月11日 2024

    初稿截稿日期

  • 11月19日 2024

    注册截止日期

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