新疆电网基于PMU数据的负荷模型参数辨识

Load Model Parameter Identification Based on PMU Data in Xinjiang Power Grid

摘要: 根据新疆地区负荷特点，首先确定了由静态负荷并联三阶感应电动机的综合负荷模型，然后以新疆地区PMU数据为基础，利用总体测辨法对综合负荷模型的参数进行辨识。将负荷节点的有功功率和无功功率以及部分参数的典型值代入模型，以模型输出与实际系统响应误差最小为目标函数，采用遗传算法辨识出负荷模型的参数。针对PMU数据应用于负荷建模的可行性做了两方面分析：一是PMU数据需要对突变量进行提取以获得满足辨识要求的数据；二是PMU数据的采样频率至少大于100 Hz，需要对原始数据进行插值处理。以新疆电网220 kV米泉变电站和台远变电站为例，基于PMU数据辨识得到综合负荷模型的参数，通过与系统实际响应的对比，验证了参数辨识及负荷建模的有效性。

Abstract: According to the characteristics of load in Xinjiang, the integrated load model of the third-order induction motor by static load is determined, and then the parameters of the comprehensive load model are identified by the overall measurement method based on the PMU data in Xinjiang. The active and reactive power of the load node and the typical value of some parameters are replaced into the model; the model output and the actual system response error is the target function, and the parameters of the load model are identified by genetic algorithm. Two aspects of the feasibility of applying PMU data to load modeling are analyzed: first, PMU data needs to extract the mutation quantity to obtain the data to meet the identification requirements, and second, the sampling frequency of PMU data is at least greater than 100 Hz, and the original data needs to be interpolated. Taking the 220 kV Miquan substation and Taiyuan substation of Xinjiang power grid as an example, the parameters of the comprehensive load model are obtained based on PMU data identification, and the validity of parameter identification and load modeling are verified by comparing the actual response of the system.