IEEE Transactions on Smart Grid, ( ISI ), Volume (9), No (5), Year (2017-12) , Pages (5403-5417)

Title : ( On the Performance of Distributed and Cloud-Based Demand Response in Smart Grid )

Authors: Mohammad Hossein Yaghmaee Moghaddam , Alberto-leon Garcia , M. Moghaddassian ,

Citation: BibTeX | EndNote


By locally solving an optimization problem and broadcasting an update message over the underlying communication infrastructure, demand response program based on the distributed optimization model encourage all users to participate in the program. However, some challenging issues present themselves, such as the existence of an ideal communication network, especially when utilizing wireless communication, and the effects of communication channel properties, like the bit error rate, on the overall performance of the demand response program. To address the issues, this paper first defines a Cloud-based Demand Response (CDR) model, which is implemented as a two-tier cloud computing platform. Then a communication model is proposed to evaluate the communication performance of both the CDR and DDR (Distributed Demand Response) models. The present study shows that when users are finely clustered, the channel bit error rate is high and the User Datagram Protocol (UDP) is leveraged to broadcast the update messages, making the optimal solution unachievable. Contradictory to UDP, the Transmission Control Protocol (TCP) will be caught up with a higher bandwidth and increase the delay in the convergence time. Finally, the current work presents a cost-effectiveness analysis which confirms that achieving higher demand response performance incurs a higher communication cost.


, Load management, Optimization, Cloud computing, Computational modeling, Companies, Load modeling, Convergence
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author = {Yaghmaee Moghaddam, Mohammad Hossein and Alberto-leon Garcia and M. Moghaddassian},
title = {On the Performance of Distributed and Cloud-Based Demand Response in Smart Grid},
journal = {IEEE Transactions on Smart Grid},
year = {2017},
volume = {9},
number = {5},
month = {December},
issn = {1949-3053},
pages = {5403--5417},
numpages = {14},
keywords = {Load management; Optimization; Cloud computing; Computational modeling; Companies; Load modeling; Convergence},


%0 Journal Article
%T On the Performance of Distributed and Cloud-Based Demand Response in Smart Grid
%A Yaghmaee Moghaddam, Mohammad Hossein
%A Alberto-leon Garcia
%A M. Moghaddassian
%J IEEE Transactions on Smart Grid
%@ 1949-3053
%D 2017