Generator parameter identification using evolutionary programming

被引：14

作者：

Ma, JT

Wu, QH

机构：

[1] Department of Mathematical Sciences, Loughborough University of Technology, Loughborough

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 1995年 / 17卷 / 06期

关键词：

parameter identification; evolutionary programming; power systems;

D O I：

10.1016/0142-0615(94)00015-8

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：

This paper presents a new approach of evolutionary programming (EP) to the parameter identification problem. The EP is used to identify the generator parameters based on the measurements of generator outputs which are highly contaminated by noise. The EP is a very powerful search method and can be used for parameter identification of complex systems, by contrast to the conventional techniques such as the extended Kalman filter (EKF) method. Comparison between the two different methodologies, EP and EKF, is presented in the paper to show the potential of applications of the EP to parameter identification and system modelling.

引用

页码：417 / 423

页数：7

共 11 条

[1]

Fogel, Autonomous automata, Industrial Res., 4, pp. 14-19, (1962)

[2]

Fogel, Owens, Walsh, On the evolution of artificial intelligence, Proc. of the 5th IEEE National Symposium on Human Factors in Electronics, pp. 63-76, (1964)

[3]

Fogel, The future of evolutionary programming, Proc. of the 24th Asilomar Conference on Signals, Systems, and Computers, (1990)

[4]

Rumelhart, McClelland, Parallel distributed processing: exploration in the microstructure of cognition, 1, (1986)

[5]

Fogel, System identification through simulated evolution: a machine learning approach to modelling, (1991)

[6]

Lee, Tan, A weighted-least-squares parameter estimator for synchronous machines, IEEE Trans. Power Appar. Syst., 96, pp. 97-101, (1977)

[7]

Namba, Nishiwaki, Yokokawa, Ohtsuka, Ueki, Identification of parameters for power system stability analysis using Kalman filter, IEEE Trans. Power Appar. Syst., 100 PAS, pp. 3304-3311, (1981)

[8]

Bollinger, Khalil, Li, Norum, A method for on-line identification of power system model parameters in the presence of noise, IEEE Trans. Power Appar. Syst., 101, pp. 3105-3111, (1982)

[9]

Jaleeli, Bourawi, Fish, A quasilinearization based algorithm for the identification of transient and subtransient parameters of synchronous machines, IEEE Trans. Power Syst., 1, pp. 46-52, (1986)

[10]

Le, Wilson, Synchronous machine parameter identification: a time domain approach, IEEE Trans. Energy Conv., 3, pp. 241-248, (1988)

← 1 2 →