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。
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.
出处
《水电能源科学》
2006年第4期79-82,共4页
Water Resources and Power
基金
国家自然科学基金资助项目(50595412)
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
power system modelling
hydro turbine and governor
genetic algorithm
parameter identification
