电气技术  2015, Vol. 16 Issue (10): 92-94    DOI:
技术与应用 |
大数据在配电网低电压评估中的应用
于永军, 祁晓笑, 南东亮, 亢朋朋, 秦艳辉
国网新疆电力公司电力科学研究院,乌鲁木齐 830012
Big Data Applications in Low-voltage Distribution Network to Assess
Yu Yongjun, Qi Xiaoxiao, Nan Dongliang, Kang Pengpeng, Qin Yanhui
State Grid Electric Power Company in Xinjiang China Electric Power Research Institute, Urumqi 250200
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摘要 配电网出现低电压,将极大影响日常生产和生活,因此必须予以认真对待。对于低电压,一方面我们要加强实时监测,另一方面则应做好评估工作,以使未雨绸缪。文章首先分析了配电网低电压产生的原因,接着基于大数据理论,从多个维度讨论低电压的评估开展,并给出实例,以期为配电网低电压处理添砖加瓦。
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关键词 大数据配电网低电压评估应用    
Abstract:Low voltage power distribution network, will greatly affect the production and life, and must therefore be taken seriously. For low voltage, on the one hand we want to strengthen the monitoring, on the other hand should do the assessments, so plan ahead. Article first analyzes the causes of low voltage power distribution network, then based on the theory of data from multiple dimensions to discuss evaluation of low voltage, and examples are given, with a view to building blocks for low-voltage power distribution network.
Key wordsdata distribution    distribution network    low voltage evaluation    application   
     出版日期: 2015-10-28
作者简介: 于永军(1965-),男,山东济南人,高级工程师,现从事电力系统分析方向工作。
引用本文:   
于永军, 祁晓笑, 南东亮, 亢朋朋, 秦艳辉. 大数据在配电网低电压评估中的应用[J]. 电气技术, 2015, 16(10): 92-94. Yu Yongjun, Qi Xiaoxiao, Nan Dongliang, Kang Pengpeng, Qin Yanhui. Big Data Applications in Low-voltage Distribution Network to Assess. Electrical Engineering, 2015, 16(10): 92-94.
链接本文:  
https://dqjs.cesmedia.cn/CN/Y2015/V16/I10/92