电网多源大数据融合方法的研究与应用

Research and Application of Multi-Source Big Data Fusion in Power Grid

随着智能电网的发展,电力系统已经进入了大数据时代,对电网冗余数据进行合理融合以适应电网现有的物理硬件和控制需求十分必要。首先介绍了电网大数据的基本特性,基于多源数据融合的原理以及信息融合层次,对数据融合的总体框架进行设计;接着,提出了一种基于映射的数据融合方法,实现对来自不同数据源的同一对象数据的融合;最后,以变电站为例,分析来自不同数据源的变电站设备参数及运行数据融合的具体过程,并以此检验数据融合理论的实用性。结果证明所提数据融合方法能有效降低数据冗余度,数据融合处理结果具有综合性和规范性。

With the development of smart grid, power system has entered the era of big data. It is necessary to integrate the redundant data reasonably to meet the existing physical hardware and control requirements of power grid. The basic characteristics of large data in power grid is introduced and the overall framework of data fusion based on the principle of multi-source data fusion and the level of information fusion is designed. A data fusion method based on mapping is proposed to realize the fusion of the same object data from different data sources. Finally, the substation is taken as an example to analyze the specific process of substation equipment parameters and operation data fusion from different data systems, and to test the practicability of data fusion theory. The results show that the proposed data fusion method can effectively reduce data redundancy, and the results of data fusion processing are comprehensive and standardized.