Price-based demand response for household load management with interval uncertainty

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...

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Autores principales:	Malik Ali Judge, Awais Manzoor, Carsten Maple, Joel J.P.C. Rodrigues, Saif ul Islam
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Smart grid Demand response Home energy management Robust optimization Interval uncertainty Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7c12c73ff82d4c5293b3bd67671e2f85
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id	oai:doaj.org-article:7c12c73ff82d4c5293b3bd67671e2f85
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spelling	oai:doaj.org-article:7c12c73ff82d4c5293b3bd67671e2f852021-11-28T04:33:35ZPrice-based demand response for household load management with interval uncertainty2352-484710.1016/j.egyr.2021.02.064https://doaj.org/article/7c12c73ff82d4c5293b3bd67671e2f852021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721001621https://doaj.org/toc/2352-4847In 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.Malik Ali JudgeAwais ManzoorCarsten MapleJoel J.P.C. RodriguesSaif ul IslamElsevierarticleSmart gridDemand responseHome energy managementRobust optimizationInterval uncertaintyElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8493-8504 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Smart grid Demand response Home energy management Robust optimization Interval uncertainty Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Smart grid Demand response Home energy management Robust optimization Interval uncertainty Electrical engineering. Electronics. Nuclear engineering TK1-9971 Malik Ali Judge Awais Manzoor Carsten Maple Joel J.P.C. Rodrigues Saif ul Islam Price-based demand response for household load management with interval uncertainty
description	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.
format	article
author	Malik Ali Judge Awais Manzoor Carsten Maple Joel J.P.C. Rodrigues Saif ul Islam
author_facet	Malik Ali Judge Awais Manzoor Carsten Maple Joel J.P.C. Rodrigues Saif ul Islam
author_sort	Malik Ali Judge
title	Price-based demand response for household load management with interval uncertainty
title_short	Price-based demand response for household load management with interval uncertainty
title_full	Price-based demand response for household load management with interval uncertainty
title_fullStr	Price-based demand response for household load management with interval uncertainty
title_full_unstemmed	Price-based demand response for household load management with interval uncertainty
title_sort	price-based demand response for household load management with interval uncertainty
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/7c12c73ff82d4c5293b3bd67671e2f85
work_keys_str_mv	AT malikalijudge pricebaseddemandresponseforhouseholdloadmanagementwithintervaluncertainty AT awaismanzoor pricebaseddemandresponseforhouseholdloadmanagementwithintervaluncertainty AT carstenmaple pricebaseddemandresponseforhouseholdloadmanagementwithintervaluncertainty AT joeljpcrodrigues pricebaseddemandresponseforhouseholdloadmanagementwithintervaluncertainty AT saifulislam pricebaseddemandresponseforhouseholdloadmanagementwithintervaluncertainty
_version_	1718408326167920640

Price-based demand response for household load management with interval uncertainty

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