随机数据驱动下的两区域系统惯量估计  

Two Areas System Inertia Estimation Based on Ambient Data

作　　者：陈志杰 杨德友[1] 赵芳琦 Chen Zhijie;Yang Deyou;Zhao Fangqi(Electrical Engineering College,Northeast Electric Power University,Jilin Jilin 132012)

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012

出　　处：《东北电力大学学报》2020年第4期48-54,共7页Journal of Northeast Electric Power University

基　　金：国家自然科学基金(51877032)。

摘　　要：随着风能等新能源不断加入到电网中,风机的“0惯量”特性对电网的运行产生了巨大的影响.针对电力系统惯量的巨大变化,文中提出了随机数据驱动下基于机电振荡参数的系统惯量估计.首先用转子运动方程建立系统惯量与机电振荡参数的联系,采用区间振荡的模态估计系统的惯量;然后对实际系统进行等效,使该方法能够运用于复杂的系统;最后采用随机子空间法(SSI)以角速度为参考量对随机数据进行辨识,得到机电振荡的核心参数,估计出系统的等效惯量.利用IEEE四机两区系统验证了文中估计方法的有效性和可行性.As new energy sources such as wind energy continue to be added to the grid,the“zero inertia”characteristics of the turbine have a huge impact on the operation of the grid.Aiming at the huge change of power system inertia,this paper proposes the system inertia estimation based on electromechanical oscillation parameters driven by random data.Firstly,the relationship between system inertia and electromechanical oscillation parameters is established by swing equation.The modal of interval oscillation is used to estimate the inertia of the system.Then the actual system is equivalent,so that the method can be applied to complex systems.Finally,It uses stochastic subspace identification(SSI)to identify random data with angular velocity as reference,obtains the core parameters of the electromechanical oscillation,and estimates the equivalent inertia of the system.The four generators two areas system verify the validity and feasibility of the proposed method.

关 键 词：惯量估计 电力系统等效 机电振荡参数 等效电抗 区间振荡 

分 类 号：TM614[电气工程—电力系统及自动化]