宁夏电力Issue(1)：67-72,6.DOI:10.3969/j.issn.1672-3643.2025.01.009
基于扩展卡尔曼滤波的短路电流零点预测方法
Zero-crossing prediction method for short-circuit current using extended Kalman filter
摘要
Abstract
The rapid and precise prediction of short-circuit current zero-crossings is crucial for the operation of phase-controlled switching.This study uses the extended Kalman filter technique to forecast zero-crossings of short-circuit current.It examines the impact of varying sampling durations and initial phase angles on zero-crossing prediction errors,based on the characteristics of short-circuit current waveforms.Simulation and experimental findings indicate that with a sampling window of around 5 ms,the prediction accuracy for the initial zero-crossing can attain 0.5 ms.This method demonstrates superior prediction accuracy and shorter sampling time compared to current methods,offering both theoreti-cal and technical support for swift short-circuit fault interruption and minimizing circuit breaker arcing time.关键词
短路电流/相控开断/扩展卡尔曼滤波/零点预测Key words
short-circuit current/phase-controlled interruption/extended Kalman filter/zero-crossing prediction分类
动力与电气工程引用本文复制引用
于家英,魏莹,李龙启,项彬,王达奇,李奕萱,刘志远..基于扩展卡尔曼滤波的短路电流零点预测方法[J].宁夏电力,2025,(1):67-72,6.基金项目
国网宁夏电力有限公司科技项目(5229DK23000B) （5229DK23000B）
