摘要
以数字化技术和能源互联网理念为驱动的“数字新基建”对现有调度自动化系统的数字化转型提出新的挑战,该文考虑调控数据存储规模、数据加工复杂度和数据服务多样化的需求,提出电网调控大数据平台的体系架构。在此基础上,研究了多源调控数据集成与融合、异构数据库分层统一存储、调控数据资产管理、大数据算法引擎等关键技术,实现全业务、全场景的电网调控数据汇集、加工和资产管理。该技术方案为调控云智能分析应用提供了存储、数据和算法的有力支撑。
Recently,Digital New Infrastructure,which is driven by digital technology and energy internet concept,has been increasingly mentioned and studied,and has brought new challenges to the digital transformation of the existing dispatch automation system.Considering the needs of the scale of data storage,the complexity of data processing and the diversification of data services,this paper puts forward the system architecture of power grid regulation big data platform.And on this basis,the key technologies,such as multi-source regulatory data integration and fusion,hierarchical unified storage of heterogeneous databases,data warehouse design for data objects,asset management of regulation data,and Big data algorithm engine,etc.are studied to achieve full-service and full-scene grid regulation data collection,processing and asset management.The proposed technical scheme provides storage resources,data services and algorithm support for the application analysis of dispatching cloud.
作者
许洪强
蔡宇
万雄
叶瑞丽
狄方春
李立新
宋旭日
XU Hongqiang;CAI Yu;WAN Xiong;YE Ruili;DI Fangchun;LI Lixin;SONG Xuri(National Power Dispatching and Control Center,State Grid Corporation of China,Xicheng District,Beijing 100031,China;Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology(China Electric Power Research Institute),Haidian District,Beijing 100192,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第12期4798-4807,共10页
Power System Technology
基金
国家电网有限公司总部科技项目(电网运行数据预测、挖掘与分析,5442DZ200038)。
关键词
调控大数据平台
数据集成
数据融合
数据加工
异构数据存储
数据资产管理
大数据算法引擎
big data platform of dispatching and control
data integration
data fusion
data fabrication
heterogeneous data storage
data asset management
big data algorithm engine
