IDENTIFICATION OF EXCITATION SYSTEM MODELS BASED ON ONLINE DIGITAL MEASUREMENTS

被引：16

作者：

WANG, JC ^{[1
]}

CHIANG, HD ^{[1
]}

HUANG, CT ^{[1
]}

CHEN, YT ^{[1
]}

CHANG, CL ^{[1
]}

HUANG, CY ^{[1
]}

机构：

[1] TAIWAN POWER CO,DEPT SYST PLANNING,TAIPEI,TAIWAN

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1995年 / 10卷 / 03期

关键词：

EXCITATION SYSTEMS; PARAMETER ESTIMATION; LEAST SQUARES METHOD; STOCHASTIC APPROXIMATION; MEASUREMENT APPROACH;

D O I：

10.1109/59.466525

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Accurate and sufficient detailed excitation system models are essential to the precise calculations of power system stability limits. This paper presents in detail a procedure for identifying excitation system models based on the on-line digital measurements from a plant transient recorder system. A solution algorithm for identifying parameters of the excitation system models is devised and implemented. The gradient averaging stochastic approximation method is employed to handle nonlinearity of the system models. Detailed numerical results based on the on-line measured data of Taipower system are included.

引用

页码：1286 / 1293

页数：8

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