ZHANG Lanyu, CHEN Yiyun, WU Hairu, et al. Research and Application of Intelligent Diagnostic Method for Line Loss in Transformer Area Based on Data Mining Technology[J]. 2019, 39(2): 16-20.
ZHANG Lanyu, CHEN Yiyun, WU Hairu, et al. Research and Application of Intelligent Diagnostic Method for Line Loss in Transformer Area Based on Data Mining Technology[J]. 2019, 39(2): 16-20.DOI:
Research and Application of Intelligent Diagnostic Method for Line Loss in Transformer Area Based on Data Mining Technology
摘要
本文围绕台区线损异常治理效率低、降损成效弱、异常监测难等问题
依托营销SG186系统、用电信息采集系统等海量数据
运用聚类算法和关联分析法
进行静态与动态数据的集成整合与优化
实现对台区数据信息的深度挖掘;通过搭建阶梯化线损管控模型、线损评估与智能诊析模型和线损治理配型库
开发台区线损"慧诊"助手开发应用
可实现"一台一策"台区线损管理的快速诊断决策与智能管控。
Abstract
The main problems of line loss management in transformer area are low efficiency of rectifying abnormal line loss
poor effect of reducing line loss
difficulty of monitoring
and so on. In order to solve these problems
this paper utilizes clustering algorithm and correlation analysis to integrate and optimize static and dynamic data obtained from SG186 system and power user electric energy data acquire system
which realizes data deep-mining. The line loss controlling ladder model
intelligent evaluation and diagnostic model of line loss
and line loss governance matching library are established. The assistant APP "Intelligent Diagnostic" is developed for line loss management
which realizes quick diagnosis and intelligent control of line loss in each transformer area.