智能配电网大数据应用需求和场景分析研究  

Big Data Application Requirements and Scenario Analysis in Smart Distribution Network

作　　者：刘科研[1] 盛万兴[1] 张东霞[1] 贾东梨[1] 胡丽娟[1] 何开元[1] 

机构地区：[1]中国电力科学研究院,北京市海淀区100192

出　　处：《中国电机工程学报》2015年第2期287-293,共7页Proceedings of the CSEE

基　　金：国家电网公司研究项目(PD71-14-032)~~

摘　　要：智能配电网中存在大量异构多源的数据,其中的数据规模和特点符合大数据的各项特征。首先总结配电网大数据的来源和特征,然后从智能配电网中的应用场景出发,分别从配电网负荷预测、运行状态评估与预警、电能质量监测和评估、基于配电网数据融合的停电优化等方面进行分析。从不同系统和不同数据结构角度,对多源数据融合中的不良数据辨识进行重点分析,同时还归纳了配电网大数据关联模型建模方法和配电网大数据分析手段。通过在配电网中运行大数据的分析技术,能够为智能配电网开展分析提供强有力的计算和分析条件,大数据的分析结果可为配电网规划和安全运行提供数据支撑,也可有效提升配电网各类资产健康水平。There are a lot of multi-source heterogeneous data in smart distribution network（SDN）, and the scale and characteristics of these data in accordance with the all features of the big data. Firstly, the source and characteristics of big data in distribution network（DN） were summarized. Then,loads forecasting of DN, operation evaluation and warning in DN, and power quality monitoring and assessment were analyzed from the perspective of SDN application scenario.Bad data identification in multi-source data fusion was investigated from different application system and different data structure perspectives. In addition, the modeling method of data association and analytical approach of DN data were generalized. The powerful computation and analysis condition can become potential by using big data technique application in SDN. The analysis results from big data can provide strong support for plan and safety operation, and the health level of DN devices can be also improved.

关 键 词：大数据 智能配电网 场景分析 风险预警 运行评估 

分 类 号：TM71[电气工程—电力系统及自动化]