摘要
电力用户用电信息采集系统与电力业务双向互动平台的结合,构建了电网与客户能量流、信息流和业务流的智能用电大数据。文章通过智能用电大数据的信息化技术与手段,利用数据挖掘与分析技术,对影响台区日线损的因素进行分析。通过台区线损异常智能诊断模型,实时分析影响台区线损的异常原因,推动低压线损管理由结果管理向过程管理转变,提升台区供电运行效率和管理水平,降低企业的经营成本,提高企业的经济效益。
With the integration of the electric information acquisition system and electric power business bidirectional interactive platform, the big data of intelligent power consumption is formed along with the power flow, information flow and business flow. By the intelligent power consumption big data information technology and means, using the technology of data mining and analysis, the factors affecting the daily area line loss were analyzed in this paper. Based on abnormal intelligent diagnostic model of power distribution area line loss, real-time analysis of abnormal reasons is achieved. The low voltage line loss management is shifted from results management to procedure management. It can improve distribution power supply operation efficiency and management level, reduce the operating costs, and improve the economic efficiency of enterprises.
出处
《电力信息与通信技术》
2015年第8期132-135,共4页
Electric Power Information and Communication Technology
关键词
智能用电
大数据
台区
线损管理
intelligent power consumption
big data
power distribution area
line loss management
