Waselul H. Sadid, Saad A. Abobakr and Guchuan Zhu
Article (2017)
|
Accepted Version Terms of Use: All rights reserved. Download (674kB) |
Cite this document: | Sadid, W. H., Abobakr, S. A. & Zhu, G. (2017). Discrete-Event Systems-Based Power Admission Control of Thermal Appliances in Smart Buildings. IEEE Transactions on Smart Grid, 8(6), p. 2665-2674. doi:10.1109/tsg.2016.2535198 |
---|
Abstract
This paper addresses the admission control of thermal appliances in the context of smart buildings. The scheduling of thermal devices operation is formulated in the framework of discrete-event systems, which allows for the modeling and design of admission control to be carried out in a systematic manner and ensuring the existence of the feasible scheduling prior to exploring control solutions. Two algorithms are developed for the purpose of peak demand reduction. While the first algorithm validates the schedulability for the control of thermal appliances, the second algorithm may achieve a more efficient use of available capacity by exploring the concept of max-min fairness. Simulation studies are carried out in MATLAB/Simulink platform and the results show a noticeable improvement on peak power reduction.
Uncontrolled Keywords
Admission control,smart buildings,discrete-event systems,scheduling,max–min fairness
![]() |
|
Subjects: | 2500 Génie électrique et électronique > 2500 Génie électrique et électronique |
---|---|
Department: | Département de génie électrique |
Research Center: | Non applicable |
Funders: | CRSNG/NSERC, Ministry of Higher Education of Libya and the College of Electronic Technology, Mitacs-Accelerate Graduate Research Internship Program |
Grant number: | RGPIN-312116-2013., TSG-00825-2015 |
Date Deposited: | 21 Dec 2017 14:02 |
Last Modified: | 08 Apr 2021 10:43 |
PolyPublie URL: | https://publications.polymtl.ca/2834/ |
![]() |
|
Journal Title: | IEEE Transactions on Smart Grid (vol. 8, no. 6) |
---|---|
Publisher: | IEEE |
Official URL: | https://doi.org/10.1109/tsg.2016.2535198 |
Statistics
Total downloads
Downloads per month in the last year
Origin of downloads
Dimensions