Efficient computation for sparse load shifting in demand side management

Li, C, Yu, X, Yu, W, Chen, G and Wang, J 2016, 'Efficient computation for sparse load shifting in demand side management', IEEE Transactions on Smart Grid, vol. 8, no. 1, pp. 250-261.

Document type: Journal Article
Collection: Journal Articles

Title Efficient computation for sparse load shifting in demand side management
Author(s) Li, C
Yu, X
Yu, W
Chen, G
Wang, J
Year 2016
Journal name IEEE Transactions on Smart Grid
Volume number 8
Issue number 1
Start page 250
End page 261
Total pages 11
Publisher IEEE
Abstract This paper introduces a distributed algorithm for sparse load shifting in demand-side management with a focus on the scheduling problem of residential smart appliances. By the sparse load shifting strategy, customers' discomfort is reduced. Although there are many game theoretic models for the demand-side management problem, the computational efficiency of finding Nash equilibrium that globally minimizes the total energy consumption cost and the peak-to-average ratio is still an outstanding issue. We develop a bidirectional framework for solving the demand-side management problem in a distributed way to substantially improve the search efficiency. A Newton method is employed to accelerate the centralized coordination of demand side management strategies that superlinearly converge to a better Nash equilibrium minimizing the peak-to-average ratio. Furthermore, dual fast gradient and convex relaxation are applied to tackle the sub-problem for customers' best response, which is able to relieve customers' discomfort from load shifting or interrupting. Detailed results from illustrative case studies are presented and discussed, which shows the costs of energy consumption and daily peak demand by our algorithm are reduced. Finally, some conclusions are drawn.
Subject Power and Energy Systems Engineering (excl. Renewable Power)
DOI - identifier 10.1109/TSG.2016.2521377
Copyright notice © 2016 IEEE
ISSN 1949-3053
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Citation counts: TR Web of Science Citation Count  Cited 94 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 21 times in Scopus Article | Citations
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