中文摘要：

针对广域系统负荷识别中的负荷分类问题进行研究，首先以简单两机系统为例从理论上研究负荷分群的基本原则，并研究了负荷群属特征和负荷构成特性对广域系统负荷识别结果的影响。基于物理机理差异度及其灵敏度分析进行参数识别，并用多次参数识别结果定义离散度指标，用其衡量识别结果对扰动场景的适应能力。研究了在多种扰动强度、扰动场景、负荷分类策略和系统拓扑结构下的广域系统负荷参数识别。结果表明，在负荷节点分类时应考虑各节点负荷构成特征的接近性和负荷群属特征的一致性，才能使该类负荷在某次扰动场景下的识别结果较好地适用于其他场景。

英文摘要：

In view of the load classification problem of load identification in wide area system, the load clustering principle is studied theoretically with a simple case of two machine system, the influence of load composition characteristic and load clustering characteristic on load identification in wide area system is researched. The parameters are identified through the defined physical mechanism difference and its sensitivity analysis, then the dispersion index of multiple identification results is defined, which can measure the adaptive capacity of identification results on disturbance scene. The wide area system load parameter identification under different disturbance intensity, disturbing scenes, load classification strategies and system topology structures is studied. The results show that, in the load-node classification, not only the load composition characteristic consistency of each node should be considered, but these load nodes also belong to the same critical cluster （or belong to the remaining cluster）, so that the identification results of this kind of load in a disturbing scene can be better adaptable to other scenes.