基于日负荷曲线的负荷分类和综合建模

针对广域电力系统中负荷节点面广量大的困难，提出了基于日负荷曲线的、将统计综合法与总体测辨法相结合的电力负荷综合建模思路。首先通过对全网所有220 kV（或110 kV）负荷节点典型日负荷曲线进行构成分析，得出各负荷节点中行业用电构成的负荷比例；然后采用谱系数平均距离聚类分析法对全网负荷节点进行分类；再根据分类结果和少量负荷节点的实测参数，推广获得所有节点的负荷模型参数。该方法已成功应用于河南电网和福建电网，结果表明新方法简单实用、效果良好，为广域电力系统的负荷建模提供了新途径。

Load Clustering and Synthetic Modeling Based on Daily Load Curves

In view of the difficulties in load modeling of the wide area power grid and by referring to the daily load curve of the power grid, a synthetic load modeling methodology is proposed by integrating the component-based statistical synthesis approach and measurement-based identification approach. Following an analysis of the typical daily load curve of all the 220 kV (or 110 kV) load substations, the load composition in each substation is obtained. Then according to the load composition, all substations are classified with the hierarchical cluster analysis. With the clustering results, the load model parameters measured at several typical substations can be extended to other substations in the same class. The method has been successfully applied to Henan Power Grid and Fujian Power Grid. The results show the simplicity and effectiveness of the new method.