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Price-based demand response for household load management with interval uncertainty
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Judge, Malik Ali, Manzoor, Awais, Maple, Carsten, Rodrigues, Joel J. P. C. and Islam, Saif ul (2021) Price-based demand response for household load management with interval uncertainty. Energy Reports, 7 . pp. 8493-8504. doi:10.1016/j.egyr.2021.02.064 ISSN 2352-4847.
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WRAP-price-based-demand-response-household-load-management-interval-uncertainty-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1012Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.egyr.2021.02.064
Abstract
In a smart grid, efficient load management can help balance and reduce the burden on the national power grid and also minimize local operational electricity cost. Robust optimization is a technique that is increasingly used in home energy management systems, where it is applied in the scheduling of household loads through demand side control. In this work, interruptible loads and thermostatically controlled loads are analyzed to obtain optimal schedules in the presence of uncertainty. Firstly, the uncertain parameters are represented as different intervals, and then in order to control the degree of conservatism, these parameters are divided into various robustness levels. The conventional scheduling problem is transformed into a deterministic scheduling problem by translating the intervals and robustness levels into constraints. We then apply Harris’ hawk optimization together with integer linear programming to further optimize the load scheduling. Cost and trade-off schemes are considered to analyze the financial consequences of several robustness levels. Results show that the proposed method is adaptable to user requirements and robust to the uncertainties.
Item Type: | Journal Article | ||||||||||||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Smart power grids, Power resources -- Prices, Robust optimization, Electric power distribution -- Mathematical models, Electric power systems -- Mathematical models, Electric power systems -- Mathematical models, Cost and standard of living, Integer programming | ||||||||||||||||||
Journal or Publication Title: | Energy Reports | ||||||||||||||||||
Publisher: | Elsevier BV | ||||||||||||||||||
ISSN: | 2352-4847 | ||||||||||||||||||
Official Date: | November 2021 | ||||||||||||||||||
Dates: |
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Volume: | 7 | ||||||||||||||||||
Page Range: | pp. 8493-8504 | ||||||||||||||||||
DOI: | 10.1016/j.egyr.2021.02.064 | ||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||||||||
Date of first compliant deposit: | 23 December 2021 | ||||||||||||||||||
Date of first compliant Open Access: | 23 December 2021 | ||||||||||||||||||
RIOXX Funder/Project Grant: |
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