Prediction Algorithm for Phase-controlled Fault Interruption Based on Prony Method

LI Honglei; FENG Ying; YUAN Zhao; LI Hui; YU Xinlin; HE Junjia; PAN Yuan

doi:10.13296/j.1001-1609.hva.2014.09.007

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Prediction Algorithm for Phase-controlled Fault Interruption Based on Prony Method

更新时间：2025-04-26

- Prediction Algorithm for Phase-controlled Fault Interruption Based on Prony Method
- High VoltageApparatus Vol. 50, Issue 9, Pages: 29-34(2014)
- 作者机构：
  
  1. 华中科技大学电气与电子工程学院强电磁工程与新技术国家重点实验室
  2. 中国电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2014.09.007
  CLC： TM564
- Published：2014
- 稿件说明：
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[1]李红蕾,冯英,袁召,李辉,喻新林,何俊佳,潘垣.基于Prony的故障电流相控分断零点预测算法[J].高压电器,2014,50(09):29-34.

LI Honglei, FENG Ying, YUAN Zhao, et al. Prediction Algorithm for Phase-controlled Fault Interruption Based on Prony Method[J]. High voltageapparatus, 2014, 50(9): 29-34.
[1]李红蕾,冯英,袁召,李辉,喻新林,何俊佳,潘垣.基于Prony的故障电流相控分断零点预测算法[J].高压电器,2014,50(09):29-34. DOI： 10.13296/j.1001-1609.hva.2014.09.007.

LI Honglei, FENG Ying, YUAN Zhao, et al. Prediction Algorithm for Phase-controlled Fault Interruption Based on Prony Method[J]. High voltageapparatus, 2014, 50(9): 29-34. DOI： 10.13296/j.1001-1609.hva.2014.09.007.

摘要

目标过零点的快速、准确预测是实现短路故障电流相控开断的基础。笔者根据短路电流信号特点

提出将Prony算法应用于故障电流相控分断时的零点预测。推导了Prony算法的求解过程

通过计算频率、幅值、相位等参数

得到采样信号的还原波形

进而求取目标电流零点。在MATLAB中设置理想信号进行算例验证

结果说明Prony算法的参数计算误差小

波形拟合度高。在谐波环境下

采用1/4周期长数据与安全点算法进行了对比。结果显示

相比安全点算法

Prony算法对谐波更加稳定

波形拟合精度更高。

Abstract

Fast and accurate prediction of zero-crossing points of fault current lays the foundation of the phasecontrolled fault interruption. In this paper

a new algorithm is proposed to predict the zero-crossing points based on Prony method. By calculating the frequencies

amplitudes

phases

etc.

the original waveform is obtained through fitting the sampled signal to calculate the objective zero points. An ideal signal is set in MATLAB to test the effectiveness of the proposed algorithm

and the result shows that the algorithm gains high SNR and very small margin of error. Moreover

compared with the safe-point algorithm

Prony algorithm demonstrates better fitting degree of waveform and higher stability to harmonics in the condition of 1/4 sampling cycle and triple-frequency harmonics.

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