DocumentCode :
1508266
Title :
QoE-driven power scheduling in smart grid: architecture, strategy, and methodology
Author :
Zhou, Liang ; Rodrigues, Joel J P C ; Oliveira, Luís M.
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing, China
Volume :
50
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
136
Lastpage :
141
Abstract :
Smart grid is a new emerging technology which is able to intelligently control the power consumption via network. Therefore, the efficiency of the information exchange between the power suppliers (or control centers) and power customers is an important issue for smart grid. Moreover, the performance of the smart grid usually depends on the customer´s satisfaction degree which belongs to the field of quality of experience. In this article, we propose a QoE-driven power scheduling in the context of smart grid from the perspectives of architecture, strategy, and methodology. Specifically, it takes into account the QoE requirement when designing the power allocation scheme. For obtaining the QoE requirement, we analyze the fluctuation of the power load and the impact of the transmission delay. In particular, the power allocation is formulated as an optimization problem that maximizes the social welfare of the system. Based on the given QoE model, an efficient power scheduling scheme is proposed by jointly considering the admission control and QoE expectation. Extensive simulation results indicate that the proposed scheme can efficiently allocate the power according to the dynamic QoE requirements in a practical smart grid system.
Keywords :
customer satisfaction; fluctuations; intelligent control; power consumption; power system control; quality of service; scheduling; smart power grids; QoE-driven power scheduling; customer satisfaction degree; information exchange; intelligent control; optimization problem; power allocation scheme; power consumption; power customers; power load fluctuation; power suppliers; quality of experience; smart power grid; social welfare; transmission delay; Communication networks; Fluctuations; Optimization; Power consumption; Power demand; Quality of service; Resource management; Scheduling; Smart grids;
fLanguage :
English
Journal_Title :
Communications Magazine, IEEE
Publisher :
ieee
ISSN :
0163-6804
Type :
jour
DOI :
10.1109/MCOM.2012.6194394
Filename :
6194394
Link To Document :
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