基于多源异构数据的配电网运行分析平台:系统架构与技术实现

Research and Implementation of Distribution Network Operating Analysis Platform Based on Multi-Source Heterogeneous Data

大数据技术是挖掘配用电海量数据价值的有效途径,可显著提高配电网生产运行监测和管控的精益化水平。本文基于智能配用电大数据的数据源及数据类别分析,结合配电网规模评估、供电可靠性评估、运行状态评价等功能需求,提出并开发了包括业务层、应用层、数据中心层和数据底层的配电网运行分析平台总体系统架构,并进一步细化了软硬件平台设计。通过对多源异构数据的整合、分析、识别、挖掘,并运用丰富的可视化技术手段,实现了电网、设备和环境信息等基础信息的融合,以及大数据分析评估结果信息的全景信息展示,并在展示的基础上开发并实现了配电网故障分析等高级应用功能。

Big data technology is an efficient path to improve distribution network operation by mining hidden value of distribution and consumption integrated data.This paper presents a method for establishing a distribution network operating analysis platform.Based on analysis of data sources and data types which consist of big data in smart power distribution and consumption systems,functional requirements for the platform are proposed,such as evaluation of distribution network scale,power distribution reliability,equipment running state and so on.The platform s architecture is proposed and developed including four layers:business,application,data center and data base.By means of analyzing,identifying and mining of multi-source data and visualization technology,the integration of data of power network,equipment and environment is realized and big data analytics results can be shown by whole picture.On the platform,some typical applications have been developed such as distribution network fault analysis.