摘要
以深度学习和大数据分析为特征的新一代人工智能技术,已成为推动电力等传统领域技术进步的重要手段。首先分析了电网发展新特点和调度控制面临的挑战;进而按照人工智能与现有技术体系深度融合的思路,开展电网调控领域人工智能应用技术框架研究,提出总体思路、建设目标,设计了系统体系架构;最后对电网调控领域人工智能应用进行展望,分析了应用发展方向,为相关研究建设提供参考。
The new generation of artificial intelligence technology,characterized by deep learning and big data analysis,has become an important means to promote technology progress in traditional fields such as electricity.Firstly,the new features of power grid development is analyzed,as well as the challenges in power grid dispatching and control.Then,based on the idea of deep integration of artificial intelligence with existing technology system,the artificial intelligence application technology framework in the field of power grid dispatching and control is studied,the overall idea and construction goal are proposed,and the system architecture is designed;Finally,the application of artificial intelligence in the field of power grid dispatching and control is outlooked,and the application development direction is analyzed,in order to provide a reference for related research and construction.
作者
李明节
陶洪铸
许洪强
刘金波
张强
张伟
LI Mingjie;TAO Hongzhu;XU Hongqiang;LIU Jinbo;ZHANG Qiang;ZHANG Wei(National Power Dispatching and Control Center,State Grid Corporation of China,Xicheng District,Beijing 100031,China;Shandong Electric Power Dispatching and Control Center,Jinan 250001,Shandong Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2020年第2期393-400,共8页
Power System Technology
关键词
电力系统
电网调控
泛在电力物联网
人工智能
模型数据混合驱动
power system
dispatching and control
ubiquitous electricity internet of things
artificial intelligence
model data hybrid drive