Electricity monitoring in smart power based on RFID/WSN and big data technology

常亚峰; 李军祥; 俞涵

doi:10.13992/j.cnki.tetas.2016.04.022

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Electricity monitoring in smart power based on RFID/WSN and big data technology

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- Electricity monitoring in smart power based on RFID/WSN and big data technology
- Vol. 29, Issue 4, Pages: 82-85(2016)
- 作者机构：
  
  上海理工大学
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2016.04.022
  CLC： TM76
- Published：2016
- 稿件说明：
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[1]常亚峰,李军祥,俞涵.基于RFID/WSN和大数据技术的智能电网用电调控[J].电信工程技术与标准化,2016,29(04):82-85.

常亚峰, 李军祥, 俞涵. Electricity monitoring in smart power based on RFID/WSN and big data technology[J]. 2016, 29(4): 82-85.
[1]常亚峰,李军祥,俞涵.基于RFID/WSN和大数据技术的智能电网用电调控[J].电信工程技术与标准化,2016,29(04):82-85. DOI： 10.13992/j.cnki.tetas.2016.04.022.

常亚峰, 李军祥, 俞涵. Electricity monitoring in smart power based on RFID/WSN and big data technology[J]. 2016, 29(4): 82-85. DOI： 10.13992/j.cnki.tetas.2016.04.022.

摘要

整合逐步发展的RFID及WSN技术实现对整个电网的远程监控、数据收集及智能抄表

再结合大数据技术对得到的数据进行全面整合分析

分析整个电网系统中用户电量的使用情况

从而对未来的用电需求做出预测

制定出合理的价格体系

引导用户错峰用电

以达到对电力负荷"削峰填谷"的效果

提高能源利用效率

节约能源消耗。

Abstract

RFID and WSN technologies are integrated to monitor remotely

collect data of used electricity and read automatically the users’ meters. Then

in via of big data analysis technology

the data are analyzed to know the usage of each user in the whole electricity system. Thus

according to the electricity requirement forecast

a reasonable price system is made to balance the electricity

improve the usual rate of energy and reduce the cost.

关键词

Keywords

references

基于WSN技术的智能电网通信系统建设研究 [J]. 左桐宇. 信息通信 . 2014(02)

基于动态规划的电池储能系统削峰填谷实时优化 [J]. 鲍冠南,陆超,袁志昌,韩英铎. 电力系统自动化 . 2012(12)

基于RFID技术的智能电网MIS的构建 [J]. 郭献崇,康俊霞,谢芳. 电源技术 . 2012(06)

智能电网技术[M]. 中国电力出版社 , 刘振亚, 2010

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