基于改进型引力算法的汽轮机调速系统参数辨识

摘要

为了解决传统汽轮机调速系统参数辨识方法周期长、适应性差和人工参与度过高等问题,提出了一种基于引力搜索算法(GSA)的改进型辨识方法(VGSA).该方法在保留粒子群算法“记忆”特性的基础上,根据粒子的适应度,对算法中的引力系数进行动态调整,使得粒子搜索空间随迭代过程而逐步缩小,从而大大提高了粒子的寻优效率.以某600MW火力发电机组的汽轮机调速系统为研究对象,利用改进型引力搜索算法进行了多参数辨识.相较改进前的引力搜索算法(IGSA)的结果表明,本文提出的改进型引力搜索算法VGSA在速度和精度上都明显优于IGSA算法.该方法为汽轮机调速系统的参数辨识提供了一种新的有效手段.%Since most of the traditional parameter identification methods used in the steam turbine speed governor system have the shortages of great work load,poor fitness and long period by hand,a novel improved gravitational search algorithm (VGSA) method,whose gravitational parameter can be dynamically adjusted according to the current fitness and search space will keep being more and more narrow during the iteration process,is proposed in this paper based on an improved gravitational search algorithm (IGSA).The performance of this new method was identified through the comparisons of the steam turbine speed governor system identification results with IGSA using the measured data from a 600MW thermal power unit.The results show that the new method VGSA has the features of higher precision and higher speed during the identification process,and it brings a new shceme for steam turbine speed governor system identification.