DocumentCode
3019795
Title
Just-in-time decision of demand respond based on complex event processing technology
Author
Xie Yingxin ; Wang Fengyu ; Li Xiaozhen ; Wu Maomao ; Wang Dapeng
Author_Institution
Energy Efficiency Bus. Dept., Beijing GuoDianTong Network Technol. Co. Ltd., Beijing, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
353
Lastpage
357
Abstract
As an important part of the smart grid, demand respond needs to be developed to meet the requirements of electricity consumption event online monitoring, real-time analysis and automatic response. Firstly, the typical demand response business models are designed and the online analysis context environments are ensuing determined. Then, a three layers framework of demand response just-in-time decision based on complex event processing technology is designed on the basis of the basic input/output event models and general operating rules. Finally, the rule of demand respond just-in-time decision technical in the auxiliary grid load shifting and regional load balancing is verified through intelligent electric equipment real-time operation control experiment. The experimental results show that the proposed technology is helpful to modify the load curve and reduce the peak-valley ratio.
Keywords
demand side management; power engineering computing; smart power grids; automatic response; auxiliary grid load shifting; complex event processing technology; demand response business models; demand response just-in-time decision; electricity consumption event online monitoring; input-output event models; intelligent electric equipment real-time operation control; load curve; online analysis context environments; peak-valley ratio reduction; real-time analysis; regional load balancing; Business; Electricity; Home appliances; Load management; Load modeling; Real-time systems; Smart grids; Smart grid; complex event processing; demand respond; just-in-time decision;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885097
Filename
6885097
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