基于单点最优辨识的综合负荷广义感应电动机模型

Generalized Induction Motor Model of Synthetic Load Based on Simple-point Optimum Identification

基于现场实测负荷数据的动态辨识,在三阶感应电动机动态模型的基础上,提出一种基于单点最优辨识策略的综合负荷广义感应电动机模型。将实测响应与基本感应电动机模型响应在同时刻的差值作为内反馈附加到模型输出,构成一种广义感应电动机模型,实现了模型响应对实测响应的最佳拟合。建模实践表明,该模型对暂态过程的描述能力强、辨识效率高、参数分散性小。其优良的性能对负荷建模的实用化具有重要意义。

Based on the dynamic identification of the actual metrical load data and the third-order induction motor dynamic model, a generalized induction motor model of the synthetic load is put forward on the basis of simple-point optimum identification strategy. It uses the difference between the actually measured response and the simultaneous basic induction model response as the internal feedback to be added to the model output to form a generalized induction motor model, realizing optimum fitting of the model response and the measurement response. The research results show that the performance of the improved model is better than that of the basic model.