Research on dynamic accuracy evaluation and error compensation algorithm for phase-selected closing of AC filters

LU Hongjian; WU Mingkai; ZHAO Xinyang; ZHU Yanlei; LIU Xiaoguang; FU Qingzhao

doi:10.3969/j.issn.1672-3643.2026.01.002

您当前的位置：

首页 >

文章列表页 >

Research on dynamic accuracy evaluation and error compensation algorithm for phase-selected closing of AC filters

更新时间：2026-03-04

- Research on dynamic accuracy evaluation and error compensation algorithm for phase-selected closing of AC filters
- Ningxia Electric Power Issue 1, (2026)
- 作者机构：
  
  1. 国网宁夏电力有限公司,宁夏,银川,750001
  2. 国网宁夏电力有限公司超高压公司,宁夏,银川,750011
  3. 许继电气股份有限公司,河南,许昌,461000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1672-3643.2026.01.002
  CLC：
- Online First：03 March 2026，
  
  Published：03 March 2026
- 稿件说明：
移动端阅览
LU Hongjian, WU Mingkai, ZHAO Xinyang, et al. Research on dynamic accuracy evaluation and error compensation algorithm for phase-selected closing of AC filters[J]. Ningxia Electric Power, 2026, (1).
DOI：

LU Hongjian, WU Mingkai, ZHAO Xinyang, et al. Research on dynamic accuracy evaluation and error compensation algorithm for phase-selected closing of AC filters[J]. Ningxia Electric Power, 2026, (1). DOI： 10.3969/j.issn.1672-3643.2026.01.002.

摘要

高压直流输电(high-voltage direct current，HVDC)交流滤波器的选相合闸精度受工况变化、测量偏差、控制延时及开关分散性等因素影响，其动态合闸相位误差(switching phase error，SPE)威胁设备安全与系统稳定。本文提出系统性解决方案：构建多维动态精度评估框架及综合误差传递模型，量化分析SPE；开发在线误差辨识与补偿算法——基于改进自适应（extended Kalman filter，EKF）实时融合多源信息辨识误差分量，并采用自适应前馈结合EKF预测策略动态修正合闸指令。通过仿真验证：该算法显著提升合闸精度，且在电压波动、谐波干扰等复杂工况下展现优异鲁棒性。本研究为提升HVDC工程可靠性提供了有效理论方法和技术支撑。

Abstract

The phase-selected closing accuracy of AC filters in high-voltage direct current(HVDC)transmission systems is influenced by variations in operating conditions

measurement deviations

control delays

and switching dispersion.The resulting switching phase error(SPE)poses potential risks to equipment safety and system stability.To address this issue

a systematic solution is proposed.First

a multidimensional dynamic accuracy evaluation framework and a comprehensive error propagation model are established to quantitatively analyze SPE.Then

an online error identification and compensation algorithm is developed

in which an improved adaptive extended Kalman filter(EKF)is employed to fuse multi-source information in real time for identifying error components.An adaptive feedforward strategy combined with EKF-based prediction is further used to dynamically correct closing commands.Rigorous simulation and hardware-in-the-loop(HIL)verification demonstrate that the proposed algorithm significantly enhances closing accuracy

reducing the root mean square value of SPE

while exhibiting strong robustness under complex operating conditions such as voltage fluctuations and harmonic disturbances.This study provides effective theoretical methods and technical support for improving the reliability of HVDC projects.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Zero crossing prediction method for short circuit current using extended Kalman filter

Analytical method for elongation of stayed-cable with catenary configuration

In-plane dynamic crushing of dual-material structure with negative Poisson′s ratio

Face micro-expression recognition based on ResNet with object mask

Development of vehicle controller for multi-wheel hybrid-driven unmanned frame vehicle

Related Author

YU Jiaying

WEI Ying

LI Longqi

XIANG Bin

WANG Daqi

LI Yixuan

LIU Zhiyuan

Related Institution

Electric Power Research Institute,State Grid Ningxia Electric Power Co.,Ltd.

State Key Laboratory of Electrical Insulation and Power Equipment,School of Electrical Engineering,Xi’an Jiaotong University

AI问答

⁰