基于大数据技术的智能电网态势感知分析

Big Data Technology Based Smart Grid Situation Awareness Research

大数据技术在态势感知中应用,能够有效处理电网规模和复杂度激剧上升产生的态势感知大数据,为态势感知提供有力的技术支持。首先,对态势感知理论进行概述,分析态势感知大数据的来源和特点。其次,从数据采集与预处理、数据存储与管理、数据分析、数据可视化4个方面阐述了态势感知中大数据技术基本架构和关键技术。最后,从态势觉察、态势理解、态势预测、态势呈现4个角度分析了当前大数据技术在智能电网态势感知中的典型应用场景。

The application of big data technology in situation awareness can effectively deal with the big data in situation awareness caused by the growing size and complexity of the power grid and provide strong support for situation awareness.This paper first summarizes the theory of situation awareness,analyses the classifications and characteristics of the big data in situation awareness.Secondly,the basic structure and key technologies of big data technology in situation awareness are expounded from four aspects:data acquisition and preprocessing,data storage and management,data analysis,and data visualization.Finally,some typical application scenarios of big data technology in situation awareness are analyzed from four aspects:situation perception,situation understanding,situation prediction and situation presentation.