Dynamic residential load scheduling based on adaptive consumption level pricing scheme
Costs; Domestic appliances; Electric power transmission networks; Electric utilities; Energy utilization; Housing; Sales; Scheduling; Demand response; Dynamic pricing; Information and Communication Technologies; Load scheduling; Smart grid; Smart power grids
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Elsevier Ltd
2023
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my.uniten.dspace-228142023-05-29T14:12:25Z Dynamic residential load scheduling based on adaptive consumption level 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; Sales; Scheduling; Demand response; Dynamic pricing; Information and Communication Technologies; Load scheduling; Smart grid; Smart power grids Demand response (DR) for smart grids, which intends to balance the required power demand with the available supply resources, has been gaining widespread attention. The growing demand for electricity 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, a dynamic residential load scheduling system (DRLS) is proposed for optimal scheduling of household appliances on the basis of an adaptive consumption level (CL) pricing scheme (ACLPS). The proposed load scheduling system encourages customers to manage their energy consumption within the allowable consumption allowance (CA) of the proposed DR pricing scheme to achieve lower energy bills. Simulation results show that employing the proposed DRLS system benefits the customers by reducing their energy bill and the utility companies by decreasing the peak load of the aggregated load demand. For a given case study, the proposed residential load scheduling system based on ACLPS allows customers to reduce their energy bills by up to 53% and to decrease the peak load by up to 35%. � 2015 Elsevier B.V. All rights reserved. Final 2023-05-29T06:12:25Z 2023-05-29T06:12:25Z 2016 Article 10.1016/j.epsr.2015.12.007 2-s2.0-84953237864 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953237864&doi=10.1016%2fj.epsr.2015.12.007&partnerID=40&md5=b1eb8754e2abe6ec73097d3de394921b https://irepository.uniten.edu.my/handle/123456789/22814 133 27 35 All Open Access, Green Elsevier Ltd Scopus |
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| description |
Costs; Domestic appliances; Electric power transmission networks; Electric utilities; Energy utilization; Housing; Sales; Scheduling; Demand response; Dynamic pricing; Information and Communication Technologies; Load scheduling; Smart grid; Smart power grids |
| author2 |
57038392900 |
| author_facet |
57038392900 Haider H.T. See O.H. Elmenreich W. |
| format |
Article |
| author |
Haider H.T. See O.H. Elmenreich W. |
| spellingShingle |
Haider H.T. See O.H. Elmenreich W. Dynamic residential load scheduling based on adaptive consumption level pricing scheme |
| author_sort |
Haider H.T. |
| title |
Dynamic residential load scheduling based on adaptive consumption level pricing scheme |
| title_short |
Dynamic residential load scheduling based on adaptive consumption level pricing scheme |
| title_full |
Dynamic residential load scheduling based on adaptive consumption level pricing scheme |
| title_fullStr |
Dynamic residential load scheduling based on adaptive consumption level pricing scheme |
| title_full_unstemmed |
Dynamic residential load scheduling based on adaptive consumption level pricing scheme |
| title_sort |
dynamic residential load scheduling based on adaptive consumption level pricing scheme |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806426136331157504 |
| score |
13.222552 |