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Optimal residential load scheduling based on time varying pricing scheme

Costs; Domestic appliances; Electric power transmission networks; Electric utilities; Energy utilization; Housing; Iterative methods; Sales; Scheduling; Demand response; Dynamic scheduling; Information and Communication Technologies; Iterative Optimization; Load scheduling; Smart grid; Time-of-use p...

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Main Authors: Haider H.T., See O.H., Elmenreich W.
Other Authors: 57038392900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-224362023-05-29T14:00:57Z Optimal residential load scheduling based on time varying pricing scheme Haider H.T. See O.H. Elmenreich W. 57038392900 16023044400 6505948861 Costs; Domestic appliances; Electric power transmission networks; Electric utilities; Energy utilization; Housing; Iterative methods; Sales; Scheduling; Demand response; Dynamic scheduling; Information and Communication Technologies; Iterative Optimization; Load scheduling; Smart grid; Time-of-use pricing; Utility companies; Smart power grids Demand response (DR) has been getting widespread attention for smart grids to manage the required power demand with the available power supply resources. The recent integration of information and communication technology (ICT) systems has presented new opportunities for residential load scheduling systems to improve energy consumption by shifting or curtailing the demand required with respect to price change or emergency cases. In this paper, an optimal residential load scheduling system (ORLS) is proposed for dynamic scheduling of household appliances on the basis of a time of use (TOU) pricing scheme using iterative optimization method. The proposed load scheduling system encourages customers to manage their energy consumption to achieve lower energy bills and balance load consumption. Simulation results show that employing the proposed ORLS system benefits the customers by reducing their energy bill and the utility companies by decreasing the peak load of required customer load demand. The proposed residential load scheduling system based on TOU allows customers to reduce their energy bills by up to 31% and to decrease the peak load by up to 35%. � 2015 IEEE. Final 2023-05-29T06:00:57Z 2023-05-29T06:00:57Z 2015 Conference Paper 10.1109/SCORED.2015.7449326 2-s2.0-84966671603 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966671603&doi=10.1109%2fSCORED.2015.7449326&partnerID=40&md5=58a7142e1ce381cddd21be2305985930 https://irepository.uniten.edu.my/handle/123456789/22436 7449326 210 214 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Costs; Domestic appliances; Electric power transmission networks; Electric utilities; Energy utilization; Housing; Iterative methods; Sales; Scheduling; Demand response; Dynamic scheduling; Information and Communication Technologies; Iterative Optimization; Load scheduling; Smart grid; Time-of-use pricing; Utility companies; Smart power grids
author2 57038392900
author_facet 57038392900
Haider H.T.
See O.H.
Elmenreich W.
format Conference Paper
author Haider H.T.
See O.H.
Elmenreich W.
spellingShingle Haider H.T.
See O.H.
Elmenreich W.
Optimal residential load scheduling based on time varying pricing scheme
author_sort Haider H.T.
title Optimal residential load scheduling based on time varying pricing scheme
title_short Optimal residential load scheduling based on time varying pricing scheme
title_full Optimal residential load scheduling based on time varying pricing scheme
title_fullStr Optimal residential load scheduling based on time varying pricing scheme
title_full_unstemmed Optimal residential load scheduling based on time varying pricing scheme
title_sort optimal residential load scheduling based on time varying pricing scheme
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425939006980096
score 13.222552

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