摘要
降低线损是供电企业提高经济效益的重要手段.本文应用聚类K-mean对数据进行概化分析,形成聚类群组.应用FP-Growth对概化后数据做关联规则分析,找到线损率与各影响因素之间的关系,从而确定降损措施,提供了一种新的降损思路和解决方案.
Reducing line loss is an important way for power supply enterprises to increase economic benefits.This article uses clustering algorithm K-mean to conduct generalizability analysis of data and to form cluster groups.FP-Growth algorithm is employed to conduct correlation rule analysis of the generalized data.The relationship between the rates of line loss and related factors was established,providing a new scheme for reducing line loss.
作者
顾秀芳
冯昊
罗佳
王怀德
GU Xiu-fang;FENG Hao;LUO Jia;WANG Huai-de(School of Electrical Engineering,Inner Mongolia University of Technology, Hohhot 010080,China;State Grid Donge Supply Company,Donge 252200,China;State Grid Huguan Country Power Supply Company ,Changzhi 047300,China;Training Center ,State Grid Xinjiang Electric Power Co.Ltd.,Urumqi 830011 ,China)
出处
《内蒙古工业大学学报(自然科学版)》
2018年第4期266-271,共6页
Journal of Inner Mongolia University of Technology:Natural Science Edition
基金
内蒙古自然科学基金项目(2014MS0549)
关键词
配电网
线损
数据挖掘
关联规则
Power distribution network
Line loss
Data mining
Correlation rules