基于大数据技术的重要用户供电安全分析  

Big Data Technology Based Important User Power Supply Security Analysis

作　　者：丁坚勇[1] 周凯[1] 田世明[2] 潘明明[2] 

机构地区：[1]武汉大学电气工程学院,湖北省武汉市430072 [2]中国电力科学研究院,北京市海淀区100192

出　　处：《电网技术》2016年第8期2491-2495,共5页Power System Technology

基　　金：国家电网公司科技项目(521820140017)~~

摘　　要：结合大数据技术对重要用户供电安全问题进行分析,首先从配网和用户内部2方面对重要用户供电安全相关的数据内容与数据来源进行梳理,并分析了这些数据的独有特征,在此基础上,探讨了重要用户安全大数据存储处理技术和分析诊断技术。最后以某重要用户为例,基于电缆温度信息,采用聚类分析的方法对其供电安全潜在风险进行分析,结果表明该设备处于劣化过程中,存在较大风险隐患,该应用场景验证了重要用户大数据在用户安全诊断中的可行性。In this paper, power supply security of important users is analyzed based on big data technology. Firstly, data about important user supply safety is discussed on its contents and sources both from distribution network and inside user, and unique characteristics of these data are analyzed. Then this paper probes storage processing analysis and big data diagnosis techniques about important user security. Finally, it takes an example to analyze potential risks in important user supply security based on cable temperature information using cluster analysis method. Result indicates that the device is deteriorating with serious potential risk,the example illustrates feasibility in user security diagnosis based on big data of important user.

关 键 词：重要用户 供电安全 大数据 潜在风险挖掘 

分 类 号：TM72[电气工程—电力系统及自动化]