摘要
以电网现有调控运行模式存在的问题作为切入点,结合实际需求完成系统架构设计,在此基础上引入数据挖掘技术进行聚类算法的改进,面向智能电网中输变电设备的实际运行状态进行监控分析模式的创新,并依托可视化、故障告警、运行监视、风险评估和辅助决策等单元的设计保障设备监控大数据分析功能的实现,以期为电网系统智能调控及安全稳定运行提供参考价值。
Taking the problems of the existing regulation and control operation mode of power grids as the entry point,the system architecture is designed based on the actual requirements,and the data mining technology is introduced to improve the clustering algorithm.The design of the units of visualization,fault alarm,operation monitoring,risk assessment and auxiliary decision-making ensures the implementation of the big data analysis function of the monitoring,with a view to providing reference values for the intelligent regulation and control of the grid system and its safe and stable operation.
作者
夏盛海
杨攀
罗宇
Xia Shenghai;Yang Pan;Luo Yu(Guiyang Power Supply Bureau,Guizhou Power Grid Co.,Ltd.,Guiyang Guizhou 550000)
出处
《现代工业经济和信息化》
2022年第7期114-116,149,共4页
Modern Industrial Economy and Informationization
基金
中国南方电网有限责任公司科技项目
项目名称为基于电网大数据的调控智能分析辅助决策系统研究及应用(项目编号为GZKJXM20200657)。
关键词
智能电网
设备监控
辅助决策
缺陷预警
数据挖掘
smart grid
equipment monitoring
auxiliary decision-making
defect warning
data mining
