电测与仪表2024，Vol.61Issue(3)：113-123,11.DOI:10.19753/j.issn1001-1390.2024.03.016
多元数据融合的智能配电网负荷分析预测管理系统
Load analysis and forecast management system of smart distribution network based on multivariate data source aggregation
摘要
Abstract
This paper develops a smart distribution network load analysis and forecasting management system based on multivariate data aggregation for the application of multivariate big data in smart distribution networks in order to realize lean management,scientific prediction and rational planning of distribution networks.Firstly,the general framework of the software system is designed;then,each functional module of the software system is developed and introduced;finally,an application example of the software system is given.The system makes full use of the massive historical load data for load characteristic analysis,establishes load characteristic database and industry expansion information database,and realizes load management and maximum load prediction by matching information to new users.In addition,the system establishes a library of load forecasting method model base,which can provide load forecasting functions in different dimensions.From the traditional regional load forecasting to feeder load forecasting,the user access decision is optimized based on cur-rent situation of feeder and business expansion information.In general,the system has the features of interoperability of data links between functional modules,information support between different functions,and overall modular design con-cept,which can meet the daily application requirements of power grid enterprises.关键词
多元数据/负荷特征库/负荷分析预测/智能配电网/数据链路互通Key words
multivariate data/load feature database/load analysis and forecasting/smart distribution network/interoper-ability of data link分类
信息技术与安全科学引用本文复制引用
高崇,唐俊熙,张俊潇,曹华珍,张道路..多元数据融合的智能配电网负荷分析预测管理系统[J].电测与仪表,2024,61(3):113-123,11.基金项目
中国南方电网有限责任公司科技资助项目(GDKJXM20173251) （GDKJXM20173251）
