基于改进HHT算法的电力系统低频振荡分析  

Low Frequency Oscillation Analysis of Power System based on Improved HHT Algorithm

作　　者：唐瑞华 丁为民 牛进才 李素平 TANG Ruihua;DING Weimin;NIU Jincai;LI Suping(School of Electronic Engineering,Chaohu University,Chaohu 238000,China)

机构地区：[1]巢湖学院电子工程学院,安徽巢湖238000

出　　处：《成都工业学院学报》2021年第3期33-37,共5页Journal of Chengdu Technological University

基　　金：巢湖学院重点科学研究项目(XLZ-201804,XLZ-201808);巢湖学院校级重点教学研究项目(ch18jxyj01)。

摘　　要：低频振荡会严重影响电力系统的正常运行,因此,以电力系统低频振荡为研究对象,采用HHT算法作为低频信号分解算法。针对HHT算法的缺点进行改进,得到改进HHT算法。改进HHT算法应用于低频振荡分析中,初步定位低频振荡源。仿真结果表明改进HHT算法对电力系统低频振荡研究法有着较高的识别功能,低频振荡源寻源方式有着较高的判别特征。Low frequency oscillation has seriously affected the normal operation of power system,therefore,low frequency oscillation has become one of the focuses of modern power system research.In this paper,taking the power system low-frequency oscillation as the research object,the HHT algorithm was adopted as the low frequency signal decomposition algorithm.Aiming at the shortcomings of HHT algorithm,improvements were made to obtain an improved HHT algorithm.The improved HHT algorithm was applied to the analysis of low frequency oscillation,and the low frequency oscillation source was initially located.The simulation results show that the improved HHT algorithm has a higher recognition function for the low-frequency oscillation research method of power system,and a high discrimination feature for the source seeking method of low-frequency oscillation source.

关 键 词：低频振荡 改进HHT算法 振荡源 定位 

分 类 号：V242.33[航空宇航科学与技术—飞行器设计]