基于电力调控大数据的调控管理关键技术分析  

Analysis of key technologies of regulation and managementbased on big data of power regulation

作　　者：杜凡 蒋红亮 朱余启 蒋迪 DU Fan;JIANG Hongliang;ZHU Yuqi;JIANG Di(Electrical Dispatching and Control Center of Yunnan Power Grid,Kun Ming 650011,China)

机构地区：[1]云南电力调度控制中心,昆明650011

出　　处：《自动化与仪器仪表》2024年第9期47-50,共4页Automation & Instrumentation

基　　金：云南电网有限责任公司生产技改项目(056000GS62210024)。

摘　　要：为解决电力调控数据管理可靠性交互的问题,提出了基于电力调控大数据的调控管理,首先分析了调控管理大数据来源以及调控数据业务维度。针对基于大数据的调控管理,关键技术进行分析,着重论述了实时数据接入、调度业务数据聚合、空间信息知识图谱、大数据可视化、状态估计智能分析、网络安全态势感知、人工智能技术的关键内容,设计了基于大数据的调控管理平台,说明了系统架构和功能架构。针对调控支撑平台的应用效果进行了分析,对比了现有平台和提出平台的效果指标。In order to solve the problem of reliability interaction of power regulation data management,a regulation management based on power regulation big data is proposed.Firstly,the source of regulation management big data and the business dimension of regulation data are analyzed.Based on big data regulation and management,the key technologies are analyzed,emphatically discussing real-time data access,scheduling business data aggregation,spatial information knowledge map,big data visualization,state estimation and analysis,network security situation awareness,artificial intelligence technology key content,designed a big data-based regulation and management platform,and explained the system architecture and functional architecture.The application effect of the regulatory support platform is analyzed,and the effect indicators of the existing platform and the platform proposed in this paper are compared.

关 键 词：调控管理 支撑平台 电力调度大数据 系统设计 

分 类 号：TM732[电气工程—电力系统及自动化] TP39[自动化与计算机技术—计算机应用技术]