摘要
户变拓扑关系的准确识别一直是电网运营过程中一个亟待解决的难题,从技术上寻求台区户变拓扑关系信息识别的方法已迫在眉睫。针对智能电网中部分集采台区存在户变关系混乱的情况,本文利用数据挖掘技术对电力通讯载波信号数据进行分析,基于增量式决策树算法设计了台区户变拓扑关系的辨识方法,实现了户变拓扑关系及时准确的维护。实际运行结果表明:该模型较之传统的决策树算法和贝叶斯模型具有更高的准确度,能有效提高台区用户信息识别的实时性和可靠性。
The accurate maintenance of the topology relationship of the transformer area has always been a difficult problem for the power grid company. At present, technical breakthroughs must be sought to solve the bottleneck problem of accurately identifying the topology relationship across the transformer area. In this paper, an incremental decision tree algorithm was proposed to identify the relationship based on the analysis of the power line carrier communication technology through the data mining technology. The actual operation results showed that the model has the advantages of high recognition accuracy than the Bayesian model and can effectively improve the real-time and reliability of user information identification.
作者
谷海彤
张远亮
卢翔智
崔卓
杜锦阳
GU Hai-tong;ZHANG Yuan-liang;LU Xiang-zhi;CUI Zhuo;DU Jin-yang(Guangzhou Power Supply Bureau Co.,Ltd.,Guangzhou Guangdong 510620)
出处
《数字技术与应用》
2019年第12期116-117,236,共3页
Digital Technology & Application
基金
中国南方电网有限责任公司科技项目“具有自我演化功能的低压电网拓扑全息重构技术研发与应用”(GZHKJXM20180036)
关键词
数据挖掘
户变拓扑关系识别
通讯载波
data mining
transformer area identification
power line carrier
