摘要
针对日渐庞大的电网体系带来的电网管理工作复杂化问题,以人工智能技术为基础,提出了通过态势感知技术对电网系统实时状况进行监控,并构建起由人工智能进行实时状况评估分析与预测的调节系统。采集全电网系统的总数据进行整合与特征捕捉,并通过人工智能系统的自主学习和信息归置存入知识库作为调控操作参考,使用时随时从权值中调用。试验表明,所提出的人工智能数据采集技术极大地提高了电网调控系统的工作效率。
In response to the complexity of power grid management caused by the increasingly large power grid system,based on artificial intelligence technology,it was proposed to monitor the real-time status of the power grid system through situational awareness technology,and constructed a regulation system for real-time status assessment analysis and prediction by artificial intelligence.The entire research work integrated and captured features by collecting the total data of the entire grid system,and used the autonomous learning and information placement of the artificial intelligence system to be stored in the knowledge base as a reference for regulation and control operations,which can be called from the weights at any time during use.Experiments show that the proposed artificial intelligence data acquisition technology greatly improves the work efficiency of the power grid control system.
作者
窦昊翔
孔陈祥
Dou Haoxiang;Kong Chenxiang(Information Telecommunication Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing Jiangsu 210000,China;Jiangsu Electric Power Information Technology Co.,Ltd.,Nanjing Jiangsu 210000,China)
出处
《电气自动化》
2022年第6期91-94,共4页
Electrical Automation
关键词
人工智能
态势感知
调控
数据采集
预测
artificial intelligence
situation awareness
regulation and control
data acquisition
forecast
