双端不同步线路参数自适应时频域故障测距算法

LIANG Yuansheng; WANG Gang; LI Haifeng

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双端不同步线路参数自适应时频域故障测距算法

更新时间：2025-08-13

- 双端不同步线路参数自适应时频域故障测距算法
- Automation of Electric Power Systems Vol. 33, Issue 4, Pages: 62-66(2009)
- 作者机构：
  
  华南理工大学电力学院,广东省,广州市,510640
- 作者简介：
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- Published：2009
- 稿件说明：
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LIANG Yuansheng, WANG Gang, LI Haifeng. [J]. Automation of electric power systems, 2009, 33(4): 62-66.
DOI：

LIANG Yuansheng, WANG Gang, LI Haifeng. [J]. Automation of electric power systems, 2009, 33(4): 62-66. DOI：

摘要

故障测距时域法所需时间窗短，能弥补频域法的不足，但考虑线路参数不确定及双端不同步影响时，其精度和稳定性偏低。利用故障前正常状态的稳态工频相量，建立含双端不同步时间差和线路工频参数的自适应观测方程，利用粒子群优化 — 最小二乘混合算法求解;建立Bergeron模型的故障测距时域观测方程，应用粒子群优化算法求解，实现双端数据不同步及参数自适应的时频域故障测距。通过建立1 000 kV特高压输电系统模型进行全面仿真验证，结果表明，所提出的故障测距方案能在较短时间窗内实现准确故障测距，且不受线路参数变化及两端数据不同步的影响。

Abstract

The time domain based fault location method needs a short time window and can compensate for the deficiency of the frequency domain method. However， with the effect of uncertainty of transmission line parameters and the two terminals being asynchronous taken into account， time domain methods are inaccurate and unstable. Therefore， by utilizing the steady fundamental frequency phasors during the pre-fault normal state， a self-adapting observation equation is established to obtain the precise transmission line parameters and two terminals asynchronous time difference. Meanwhile， to solve this equation， the particle swarm optimization（PSO） and least squares iteration are combined. Then， a Bergeron modeling fault location time domain observation equation is set up and solved by the PSO algorithm. Consequently， a time-frequency-domain fault location scheme with two terminals being asynchronous and transmission line parameters self-adapting is presented. The simulation results concerning a 1 000 kV transmission system model show that the short-time-window method proposed is accurate， reliable and impervious to the uncertainty of transmission line parameters and two terminals being asynchronous.

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