丁坚勇;周凯;田世明;潘明明;

• 1:武汉大学电气工程学院
• 2:中国电力科学研究院

摘要(Abstract)：

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。

关键词(KeyWords)： 重要用户;供电安全;大数据;潜在风险挖掘

Abstract:

Keywords:

基金项目(Foundation): 国家电网公司科技项目(521820140017)~~

作者(Author): 丁坚勇;周凯;田世明;潘明明;

Email:

DOI: 10.13335/j.1000-3673.pst.2016.08.035

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