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基于复数卡尔曼滤波的电力系统对称分量估计

崔博文

集美大学学报(自然科学版)2016,Vol.21Issue(5):357-362,6.
集美大学学报(自然科学版)2016,Vol.21Issue(5):357-362,6.

基于复数卡尔曼滤波的电力系统对称分量估计

Complex Kalman Filter Based Symmetrical Components Estimation for Power System

崔博文1

作者信息

  • 1. 集美大学轮机工程学院,福建 厦门361021
  • 折叠

摘要

Abstract

The paper presents a new complex Kalman filter based method to estimate positive symmetri⁃cal ( PS) harmonic components of power system. The theory of symmetrical component was used to obtain in⁃stantaneous PS component, and the complex numerical signal model of three phase power system was obtained by using transformation. State and observation equations are obtained according to the PS harmonic component to be estimated. The PS harmonic components were estimated by using complex Kalman filter. The simulation results show that the method presented in the paper can estimate the PS harmonic components accurately in re⁃al time.

关键词

电力系统/复数卡尔曼滤波/谐波/对称分量/状态方程

Key words

power system/complex Kalman filter/harmonics/symmetrical components/state equation

分类

信息技术与安全科学

引用本文复制引用

崔博文..基于复数卡尔曼滤波的电力系统对称分量估计[J].集美大学学报(自然科学版),2016,21(5):357-362,6.

基金项目

福建省自然科学基金资助项目 ()

集美大学学报(自然科学版)

1007-7405

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