摘要
低频振荡是电力系统受外部扰动后出现的功率振荡现象,该现象出现的原因较多,增加了电力系统的不稳定性,延迟了电力系统的资源调度时间。因此,如何识别电力系统低频振荡问题,找出低频振荡原因,提出合理化的抑制策略,是电力企业的研究方向。目前,电力系统低频振荡挖掘难度大、识别时间长,在线监测方法无法有效判断低频振荡,因此,本文提出一种椭圆曲线算法,以综合识别低频振荡的类型、原因和位置,挖掘低频振荡原因,调节低频振荡的参数、干扰源。MATLAB仿真显示,椭圆曲线算法能提高电力系统低频振荡的识别准确率,以及原因的挖掘率,并缩短低频振荡的抑制时间。与在线监测法相比,椭圆曲线算法能满足电力系统低频振荡的处理要求。
Low-frequency oscillation is a power oscil lation phenomenon that occurs after the power system is subject to external disturbance.There are many reasons for it,which increases the instability of the power system and delays the resource scheduling time of the power system.Therefore,how to identify the low-frequency oscillation problem of power system,find out the causes of low-frequency oscillation,and propose reasonable suppression strategies are the research direction of power enterprises.At present,low frequency oscillation in power system has the problems of difficult cause mining and long identification time,and the online monitoring method cannot effectively judge the low frequency oscillation problem.Therefore,this paper proposes an elliptic curve algorithm to comprehensively identify the type,cause and location of low frequency oscillation problem,excavate the cause of low frequency oscillation,and adjust the parameters and interference sources of low frequency oscillation.MATLAB simulation shows that the elliptic curve algorithm can improve the identification accuracy of low-frequency oscillation in power system,as well as the mining rate of causes,and shorten the suppression time of low-frequency oscillation.Compared with the online monitoring method,the elliptic curve algorithm can meet the processing requirements of low frequency oscillation in power system.
作者
杨凡
YANG Fan(Guoneng Shenhua Jiujiang Power Generation Co.,Ltd.,Jiujiang,Jiangxi 332504,China)
出处
《自动化应用》
2023年第10期53-55,共3页
Automation Application
关键词
电力系统
低频振荡
强迫振荡
阻尼振荡
椭圆曲线算法
power system
low frequency oscillation
forced oscillation
damping oscillation
elliptic curve algorithm
