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基于改进SVD-Prony算法的永磁同步风力发电机参数辨识

刘洋 蔺红 晁勤

水力发电2017,Vol.43Issue(12):92-96,5.
水力发电2017,Vol.43Issue(12):92-96,5.

基于改进SVD-Prony算法的永磁同步风力发电机参数辨识

Parameter Identification of Permanent Magnet Synchronous Wind Power Generator Based on Improved SVD-Prony Algorithm

刘洋 1蔺红 1晁勤1

作者信息

  • 1. 新疆大学电气工程学院,新疆 乌鲁木齐830001
  • 折叠

摘要

Abstract

It is very important to establish an accurate model of permanent magnet synchronous wind power generator for analyzing and controlling the security and stability of power system,but the generator parameters are difficult to determine accurately.As the fact that current fundamental component and harmonic component of three-phase short-circuit current occurred in electric power system are determined by generator parameters,a parameter identification method of permanent magnet synchronous wind power generator based on improved SVD-Prony algorithm is proposed.Through the case studies of two types of examples,it is proved that the proposed parameter identification method of permanent magnet synchronous wind power generator is feasible,the identification model is effective and the parameters are accurate.

关键词

永磁同步风力发电机/改进SVD-Prony算法/三相短路电流辨识模型/参数辨识

Key words

permanent magnet synchronous generator/improved SVD-Prony algorithm/model of three-phase short-circuit current/parameter identification

分类

能源科技

引用本文复制引用

刘洋,蔺红,晁勤..基于改进SVD-Prony算法的永磁同步风力发电机参数辨识[J].水力发电,2017,43(12):92-96,5.

基金项目

国家自然科学基金项目(51667019) (51667019)

国家国际科技合作(2013DFG61520) (2013DFG61520)

新疆自治区高校科研计划(XJEDU2013I09) (XJEDU2013I09)

水力发电

OA北大核心CSTPCD

0559-9342

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