Power big data research and application in smart grid

被引：0
|
作者：
Zhang, Su-xiang [1 ]
Zhao, Bing-zhen [1 ]
Zhang, Dong [2 ]
Cao, Jin-ping [1 ]
Han, Lu [1 ]
机构：
[1] State Grid Informat & Telecommun Branch, Beijing 100761, Peoples R China
[2] State Grid Corp China, Dept Rural Power Management, Beijing 100031, Peoples R China
来源：
WIRELESS COMMUNICATION AND SENSOR NETWORK | 2016年
关键词：
Demand Side Management; Clustering Algorithm; Residential Load; Smart Grid; Big Data;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Demand side management is an effective method for conserving energy and reducing emissions. In this paper, power big data research and its application in smart grids is discussed. Using information and communications technology, a c-means clustering algorithm was made as the core, after which it was combined with cloud computing technology and an electricity demand response model to establish the constraint equation. This model was then used for a residential electricity data classification task. Taking 200 randomized sampling users, three user groups were obtained. For the first and third groups, orderly electricity consumption was carried out, and the electricity load was reduced by 5%. The calculations demonstrate the validity of our model and algorithm
引用
收藏
页码：890 / 897
页数：8
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