大规模电力系统的分解—集结降阶法

Decomposition and Aggregation Method for Very Large Scale Power Systems

本文提出了一种适用于多区域大规模电力系统机组—模式关联特性分析的降阶方法—分解集结法。该方法首先将系统分为若干慢同摆区,然后将快慢模式分离,并且把快模式按区域进行计算。这样只要对若干个低维矩阵进行特征值计算,就可以进行机组—模式关联特性分析。通过两个算例计算,结果是令人满意的。

This paper presents a reduced-order method-decomposition and aggregation method for the multi-area large scale power systems. This method divides the power system into several subsystems which contain coherency machine groups according to power system dynamic structure property. Then, the information about the swing mode can be aggregated into several very low dimension models by which the sensitivity can be computed. The machine associated with studying mode can be picked out.