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水轮机及其调速系统建模与参数辨识方法
引用本文:李悝,张靖,孙海顺,文劲宇,程时杰. 水轮机及其调速系统建模与参数辨识方法[J]. 水电能源科学, 2006, 24(4): 79-82
作者姓名:李悝  张靖  孙海顺  文劲宇  程时杰
作者单位:华中科技大学,电气与电子工程学院,湖北,武汉,430074
摘    要:介绍了时域法、频域法和遗传算法等常用的电力系统模型辨识方法。以现场试验数据为基础,分别用PLPF法和遗传算法对水轮机及调速系统进行了参数辨识,结果表明遗传算法能较准确地辨识出系统各个环节的数学模型,仿真曲线更接近实际,体现了遗传算法在非线性模型辨识方面的优越性。

关 键 词:电力系统建模  水轮机及调速系统  遗传算法  参数辨识
文章编号:1000-7709(2006)04-0079-04
收稿时间:2006-07-21
修稿时间:2006-07-21

Study on Modelling and Parameter Identification of Hydro Turbine and Governor System
LI Kui,ZHANG Jing,SUN Haishun,WEN Jinyu,CHEGN Shijie. Study on Modelling and Parameter Identification of Hydro Turbine and Governor System[J]. International Journal Hydroelectric Energy, 2006, 24(4): 79-82
Authors:LI Kui  ZHANG Jing  SUN Haishun  WEN Jinyu  CHEGN Shijie
Abstract:This paper introduced sometraditional identification methodsin power system, such as frequency-domain method,time-domain methodand genetic algorithm (GA) method. PLPF approach and GA approach were compared based on the field test data of hydro turbine and governor system. The results show that GA method is able to obtain the accurate parameters of the system, and the simulation is closer to the test output result. It is shown that the GA method is superior to the other method on parameter identification of nonlinear models.
Keywords:power system modelling  hydro turbine and governor  genetic algorithm  parameter identification
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