基于U-I采样值象空间分布特征的换流变涌流识别方法
Method for Identifying Converter Transformer Inrush Current Based on U-I Sampling Value Quadrant Space Distribution Characteristics
摘要
面向电力电子化的高压直流输电系统,在换流变空载合闸时,传统二次谐波识别判据存在失效风险.为此,该文提出了一种基于U-I采样值象空间分布特征的换流变涌流识别方法.该方法通过引入电压与电流采样序列,以此构建U-I采样值象空间分布,并分析换流变在正常运行、空载合闸、合闸于故障时的U-I象空间分布特征,根据其对称性、象空间分布的形状差异,提出了基于U-I采样值象空间分布对称度误差的涌流识别判据.借助PSCAD/EMTDC电磁暂态仿真平台构建换流变空载合闸模型,分别设置换流变的不同运行工况对所提方法进行仿真验证,结果表明该文所提识别方法准确可靠,能有效识别涌流,防止差动保护误动作,为保障新型电力系统安全运行具有重要工程价值.
In high-voltage direct current(HVDC)systems with power electronics,there is a risk of failure in traditional second-order harmonic recognition criteria during the no-load closing of the converter transformer.To address this issue,this paper proposes an inrush current identification method based on the U-I sampling value quadrant space distribution characteristics.This method introduces voltage and current sampling sequences to construct the U-I sampling value quadrant space distribution and analyzes the U-I quadrant space distribution characteristics of the converter transformer under normal operation,no-load closing,and closing during faults.Based on the symmetry degree and shape differences in the quadrant space distribution,an inrush current identification criterion is proposed,which relies on the symmetry error of the U-I sampling value quadrant space distribution.Using the PSCAD/EMTDC electromagnetic transient simulation platform to construct the converter transformer no-load closing model,simulations are conducted under different operating conditions of the converter transformer to verify the proposed method.The results show that the proposed recognition method is accurate and reliable,effectively identifying inrush current and preventing maloperation of differential protection,ensuring the safe operation of a new-type power system is of significant engineering value.
年,卷(期):
2026, 50(9)
分类号:
TM772
机标分类号:
TM721.1
TM41
TM341
在线出版日期:
2026年9月29日