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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Systems Journalarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Systems Journal
Article . 2021 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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A Schedulable Energy Scheduling Algorithm With Fair Delay for Smart Grid Distributions

Authors: Jingcheng Gao; Yang Xiao; Shuhui Li; Tieshan Li;

A Schedulable Energy Scheduling Algorithm With Fair Delay for Smart Grid Distributions

Abstract

Fairness is now a significant issue in demand response because of its importance in customer attraction. Studies have shown that current demand response programs are lacking fairness considerations so that this may prevent demand response program penetration. In this article, fairness will be discussed and explored in terms of fair delay of energy usage instead of the existing fair bill approach. A mathematical formation of the system is provided and an algorithm is proposed, including back-off, carry-on, and optimization procedures. In order to find the best policy for using this algorithm, simulations are conducted to find the best policy in order to lower all the customers’ total cost while bounding the customers’ delays within a fairness range. The simulation results show the best policy under two different simulation setups. Moreover, the energy consumption scheduling algorithm with the fair delay control has much better fair delay index performance than the energy consumption scheduling algorithm without fair delay control, with 20%–65% improvement, depending on the environments.

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