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机构地区:[1]福州大学电力系统与自动化学院,福建福州350100
出 处:《电力科学与工程》2018年第1期52-58,共7页Electric Power Science and Engineering
摘 要:研究水轮机调节系统的仿真对于水轮机自身系统运行的安全稳定具有重要的意义。由于水轮机本身的非线性,搭建精确的水轮机调速系统模型需要对水轮机中参数的精确辨识。针对水轮机机组中参数辨识结果可信性进行研究,引入了集合论估计的思想,指出模型可明确系统真实状态和辨识结果的关系,利用了先验知识等一系统数据,辨识出离散点,以提升估计结果的可信性。针对水轮机模型在传统BPA可靠性不足的特点,搭建了二阶轴流转桨式水轮机模型,保证了模型的可应用性以及参数辨识结果的可靠性。The simulation for the turbine system to study the effects of the water turbine regulation system is of great significance to the safe and stable operation. Due to the nonlinear link of the turbine itself, sets up a mathematical model for getting accurate identification parameters of the water turbine governing the system. Aiming at the credibility of the parameter identification results introduce the ideas of set theory estimation. It points out that the model can be used to make the relation between true state and identification results clear, by using the prior knowledge of the system data, identify discrete points, to promote the credibility of the estimated result. Aiming at the characteristics of the defects in the traditional BPA reliability hydro-turbine model, sets up the second order of Kaplan tu^-bine model, to ensure the applicability of the model and the reliability of the parameter identification results.
关 键 词:水轮机机组 调速器建模 集合论估计 参数辨识 可信性
分 类 号:TM711[电气工程—电力系统及自动化]
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