摘要
概率特征根分析可以将系统的多种运行方式融入到一次数值计算中,但是现有的概率特征根分析只考虑了负荷的电压指数依赖特性模型。负荷的动态特性是造成电压不稳定的主要原因,为此基于一般性的多机系统表达技术(GMR),将概率特征根分析进行扩展以包含负荷的动态特性模型,进而根据特征根的概率分布、动态负荷相关比以及特征根对节点电压的电压失稳模式系数确定系统的电压薄弱点,从而完成了系统多运行方式下的小干扰电压稳定性分析。最后,对五节点系统进行了计算,考察了在所确定的电压薄弱点进行电压控制的效果。
Probabilistic eigenvalue analysis can integrate system multi-operating condition into one numerical computation. However, the existing probabilistic eigenvalue analysis only considers the static voltage exponential depending load model. The dynamic load characteristic is the main cause for voltage instability. Hence, the probabilistic eigenvalue analysis is extended to include the dynamic load characteristic model based on the generalized multi-machine representation （GMR） technique. Further, the voltage weak nodes can be determined according to the distribution probabilistic of eigenvalues, the relative ratio of dynamic loads and the voltage instability coefficients of eigenvalues to nodal voltages. Therefore, the small disturbance voltage stability analysis for system multi-operating conditions are completed. In the end, five-bus system is applied to investigate the voltage control effects by installing voltage control devices at the selected voltage weak nodes.
出处
《继电器》
CSCD
北大核心
2008年第4期19-22,26,共5页
Relay
基金
国家自然科学基金重点项目(50337010)~~
关键词
电压稳定
概率特征根
小干扰稳定
负荷模型
感应电动机
voltage stability
probabilistic eigenvalue
small disturbance stability
load model
induction motor
