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基于无迹卡尔曼滤波的行波波头辨识

姜万超 聂宇 朱大铭 张家豪 温继胜 齐郑

电测与仪表2017,Vol.54Issue(20):63-68,6.
电测与仪表2017,Vol.54Issue(20):63-68,6.

基于无迹卡尔曼滤波的行波波头辨识

The identification of traveling wave head based on unscented Kalman filter

姜万超 1聂宇 1朱大铭 2张家豪 2温继胜 1齐郑3

作者信息

  • 1. 国网辽宁省电力有限公司, 沈阳 110006
  • 2. 国网吉林省电力有限公司,长春 130021
  • 3. 华北电力大学电气与电子工程学院,北京 102206
  • 折叠

摘要

Abstract

It's critical to accurately calibrate the arrival time of traveling wave in its fault location. However, when zero crossing fault or a short to ground through high impedance fault appears in the power system, the traveling wave signal will be relatively weak, and singular judgment traveling wave method mutations occur significant errors. In or-der to accurately capture the fault transient traveling wave, this paper proposes a new method to identify the traveling wave. By analyzing the traveling wave transmission characteristics and building an estimated capacity of traveling wave mathematical model, the method applies unscented Kalman filter state to identify traveling wave head and obtain trave-ling wave arrival time to fault detection device. The simulation results show that even in the low SNR, this method can still identify the traveling wave with good practicability.

关键词

行波测距/暂态行波/无迹卡尔曼滤波/辨识/状态估计

Key words

traveling wave location/transient traveling wave/unscented Kalman filter/identification/state estimation

分类

信息技术与安全科学

引用本文复制引用

姜万超,聂宇,朱大铭,张家豪,温继胜,齐郑..基于无迹卡尔曼滤波的行波波头辨识[J].电测与仪表,2017,54(20):63-68,6.

基金项目

国家自然科学基金资助项目(5127706) (5127706)

电测与仪表

OA北大核心

1001-1390

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