基于电力大数据的多源异构参数融合方法的研究与应用

Research and application of fusion method of multi-source heterogeneous data based on large power parameters

针对电网大数据时代普遍存在的"一个电网,多套参数"的问题,文中提出一种基于电力大数据的多源异构参数融合方法,通过电网各专业部门、各级调度中心的不同参数数据进行纵向和横向的参数融合技术消除多源电网间的数据参数差异。本数据融合方法可克服传统的采用参数辨识与估计方法的缺陷,提高数据融合效率、缩小数据模型差异以满足电网调度中心运行实际需求。

In order to satisfy the problem of ＂a grid, multiple sets of parameters＂, theresearch and application of fusion method of multi-source heterogeneous data based on large power parameters, eliminating the differences between power grid data sources. The data fusion method can be overcome by using the method of parameter identification and estimation of the defects of the traditional.