基于智能电网用户侧海量数据的业务系统研究

摘要

近年来关于智能电网用户侧海量数据相关的技术及其在电力行业中的应用已有较多研究，但是缺乏对于用户侧数据基础架构及业务应用模式的系统研究。基于对用户侧数据的特征分析，论文从用户侧海量数据的技术架构以及未来承载电力海量数据关键技术出发开展了相关研究。建立了面向电力业务体系的海量数据平台，并设计了智能电网用户侧海量数据技术架构。最后，以优化节点电价为例，利用数据挖掘技术对用户侧海量数据在需求响应（DR）决策中的应用制定了DR辅助决策流程，对未来智能电网海量数据的研究和应用提供了理论依据及技术支撑。%In recent years,a lot of researches on technologies related to mass data from smart grid user side and their applications in the electric power industry have been done.However,the researches on the architecture of the user side mass data system are missed.Based on the characteristics of the user side data,related researches on user side mass data technology architecture and the key technologies for electrical mass data transport in the future are carried out.a mass data platform for the electricity business is established,and user side mass data technology architecture is designed.Finally,taken the node price as an example data mining technology is used to support decision-making for demand response.It could provide theoretical foundation for the study and applications for the mass data in smart grid.