基于电力系统主导振荡模式提取的区域负荷模型识别研究

以区域负荷节点上不同用电性质负荷的构成比例为特征,进行负荷的分类及模型识别。选取充分参与系统主导振荡模式,且具有较高电压等级的关键母线作为观测对象,构建模型识别的目标函数,用梯度优化算法搜索负荷参数最优值。通过算例仿真检验了文中方法的有效性,并对不分类、按电气距离分类和按负荷用电性质构成比例分类这3种负荷节点分类方法进行比较,结果表明按负荷性质构成比例对系统负荷分类识别,其识别结果具有更好的准确性和适用性。

Study on the Regional Load Model Identification Based on theDominant Oscillation Model Extraction of Power System

Proportion of load consumption component is chosen as a characteristic of each load using for load classification and model identification in this paper.The crucial buses with high-voltage which fully participate in the system dominant oscillation mode are chosen as the observed objects in regional load model identification.The objective function of load model identification is established using the voltage of the observed objects.Gradient optimization algorithm is used for optimal value searching.Simulation results verifies the proposed method,and three load classification strategies including miscategorized method,classification according to the electrical distance between two loads and classification according to the proportion of load consumption component are compared with simulation tests.The results show that the load identification value based on classification according to the proportion of load consumption component is more accurate and applicable to other occasions.