电力系统在线小干扰主导特征模式识别及强相关机组选择方法  

Online Identification of Dominant Characteristic Modes of Small Signal Disturbance and Selection of Strong Correlative Units

作　　者：闫常友[1] 周孝信[1] 田芳[1] 严剑峰[1] 

机构地区：[1]中国电力科学研究院,北京市海淀区100192

出　　处：《电网技术》2009年第13期42-47,共6页Power System Technology

摘　　要：首先介绍了电力系统在线小干扰计算方法的起源和发展、小干扰分析常用的发电机数学模型和特征值分析方法。在此基础上,依据特征根和阻尼比等信息,提出了小干扰分析的主导振荡模式的识别步骤,以及主导特征模式强相关机组的选择算法,给出了算法的终止条件;深入分析了振荡模式的相位特性,并利用其对强相关机组进行分群研究;提出了相关因子分群系数的概念及其含义。最后利用2个算例对所提方法进行了验证。The source and development of online computation methods of power system small signal stability as well as the common used mathematical model of generators and eigenvalue analysis method are introduced. On this basis, according to eigenroot and damping ratio, the identification procedures of dominant oscillation modes for small signal disturbance analysis and the selection algorithm for strong correlative units under dominant characteristic modes are proposed, and the termination condition of the proposed algorithm is given. The phase characteristics of oscillation modes are analyzed in depth and used in the clustering of strong correlative units. A concept of clustering coefficient of correlation factor and its meaning are put forward. The proposed method is verified by two calculation examples.

关 键 词：主导振荡模式 相关因子分群系数 强相关机组 小干扰稳定 

分 类 号：TM712[电气工程—电力系统及自动化]