基于多曲线拟合的负荷模型综合研究

Research on Load Model Synthesis Based on Multi-curve Fitting Method

为了从大量负荷数据当中抽象出一个或者少数几个实用的负荷模型,对模型的综合进行了研究。首先就参数平均法和多曲线拟合法在模型综合方面的效果进行了对比。由于负荷模型参数的辨识具有多值性特点,参数平均法的综合效果明显不如多曲线拟合法。另外研究还发现多曲线拟合法在对负荷特性相似的数据进行综合的时候更能发挥其效力,最后提出了一种先分类后综合的模型综合策略,既增强了模型的实用性又提高了模型的精度。实例分析证明了该方法的有效性。

In order to derive one or few practical load models from a mass of field measurement data,the load model synthesis is studied.After the comparison between the parameter averaging method and the multi-curve fitting method,it is found that the latter is much better for load model synthesis because of the multi-value characteristic in identification.It is revealed that the multi-curve fitting method can only exert its efficiency better when the synthesized field data has similar property.A load model synthesis strategy including load classification is proposed,which can not only reinforce the practicality of the load model but also can improve its accuracy.The instance proves its validity.