Probabilistic eigenvalue analysis including FACTS devices

Abstract

概率特征根分析计及了较宽范围的系统运行方式变化,利用柔性交流输电系统FACTS(FlexibleACTransmissionSystem)装置上的附加控制器可以改善系统的动态特性,将现有的概率特征根分析扩展到包含FACTS功能模块。以并联型静态无功补偿器SVC(StaticVarCompensator)和串联型可控串联补偿器TCSC(Thyristor鄄ControlledSeriesCapacitor)为例,在原有概率特征根模型的基础上,依据具体的元件模型和控制器表达,确定了形成系统状态空间方程时的相应线性化表达式;详细讨论了功能增加后系统状态方程矩阵的形成;通过补充相关的灵敏度计算,完成了计及FACTS装置的电力系统多运行方式下的小干扰稳定性分析。最后,在一个八机系统上进行了试算。在选定的附加控制器参数下,比较了增加SVC前后的系统主导特征根的变化,考察了附加控制器增益变化对临界特征根的影响。 Wider scale of power system operating condition variation can be taken into account inthe probabilistic eigenvalue analysis and the system dynamic characteristics can be improved by the auxiliary controllers on FACTS (Flexible AC Transmission System) devices . The present probabilistic eigenvalue analysis is extended to include FACTS modules. From the original probabilistic ei-genvalue representation,the linearization equations for forming the system state space representation are derived by considering the SVC(Static Var Compensator) and TCSC(Thyristor-Controlled Series Capacitor) for example;the formulation of system coefficient matrix A is discussed in details;with the related eigenvalue sensitivity expression added,the small disturbance stability analysis under multiple system operating conditions is carried out including FACTS devices. The completed approach is tested on an eight-machine system. Under selected auxiliary controller parameters,the dominant eigenvalues with and without a SVC are compared. Effect of controller gain change on the critical eigenvalue is also investigated.