On-line Synchronous Generator's Parameters Identification with Dyanmic PMU data

被引：0
|
作者：
Zhang, Junli [1 ]
Xue, Ancheng [1 ]
Bi, Tianshu [1 ]
Wang, Zhengfeng
Tang, Wei
机构：
[1] N China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
来源：
2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2012年
关键词：
synchronous generator; parameter identification; genetic algorithm; gradient-based searching; hybrid algorithm; PMU;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Parameters identification for synchronous generator is one of a significant means to ensure the accuracy of power system stability analysis. This paper decouples the synchronous generator from the corresponding excitation controller and related power network by using the measured data from PMU. Subsequently, the parameters identification for synchronous generator with PMU data is formulated as an optimization problem of dynamic input-output system. Finally, the hybrid algorithm which is based on the combination of the genetic algorithm (GA) and gradient-based searching is proposed to obtain the solution. The simulation results of the BPA fifth-order model of synchronous generator show the effectiveness of the proposed approach.
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页数：4
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