Research on Mobile Internet for Smart Power Consumption

Article Preview

Abstract:

In this paper, research on mobile internet for smart power consumption had been completed; To encourage consumers to participate in peak-shifting, various devices and technologies have been deployed on customer premise, such as interactive terminals, data gathering equipments, load control devices, visualization technology, the interactive service platform and technical support platform etc. These measures have brought out major achievements. In Beijing, Shanghai, Nanchang and Yinchuan, through an empirical study for power consumption in the different cities, experiment showed that mobile internet for smart power consumption could reduce load difference, and smooth load curve, which can improve operation efficiency of power grid and relieve pressure of energy shortage due to the participation of consumers.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

424-428

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] LI Yang, WANG Beibei, SONG Hongkun. Demand side response and its application, Power demand side management, 2005, 7(6), pp.13-16.

Google Scholar

[2] Zhang suxiang, Liu Jianming, Zhang Suxian, Cao Jinping. InteractionResearch on the Smart Power Consumption. Journal of energy and power engineering. July, 2013, pp.824-827.

Google Scholar

[3] ZHAO Hong-tu, ZHU Zhi-zhong, YU Er-keng. Demand Response Performance Evaluation and Basic Load Calculation Method for Customers in Electricity Market Environment, ,Power System Technology, 2009, 33(19): pp.72-78.

Google Scholar

[4] ZHANG Qin, WANG Xifan, FU Min, WANG Jianxue, Smart Grid from the Perspective of Demand Response, Automation of Electric Power Systems,2009,33 (7): pp.49-55.

Google Scholar

[5] ZHANG Suxiang, LIU Jianming, ZHAO Bingzhen, CAO Jinping. The Resident Behavior Analysis Model Research Based on the Cloud Computing, Power System Technology, 2013, 37(6): pp.1542-1546.

Google Scholar

[6] TAN Jinjing, WANG Beibei, LI Yang. Modeling of user response to time-of-use price based on multi-agent technology, Power System Technology, 2012, Vol. 36 No. 2: pp.257-263.

Google Scholar

[7] HE Yongxiu, WANG Bing, XIONG Wei, et al. Analysis of residents smart electricity consumption behavior based on fuzzy synthetic evaluation and the design of interactive mechanism, Power System Technology, 2012, 36(10): pp.247-258.

Google Scholar