Scheduling smart home appliances using mixed integer linear programming

This paper considers the minimum electricity cost scheduling problem of smart home appliances. Operation characteristics, such as expected duration and peak power consumption of the smart appliances, can be adjusted through a power profile signal. The optimal power profile signal minimizes cost, whi...

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Vydáno v:2011 50th IEEE Conference on Decision and Control and European Control Conference s. 5144 - 5149
Hlavní autoři: Kin Cheong Sou, Weimer, J., Sandberg, H., Johansson, K. H.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.01.2011
Témata:
Electricity
Job shop scheduling
Load management
Schedules
Washing machines
ISBN:9781612848006, 1612848001
ISSN:0191-2216
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Abstract This paper considers the minimum electricity cost scheduling problem of smart home appliances. Operation characteristics, such as expected duration and peak power consumption of the smart appliances, can be adjusted through a power profile signal. The optimal power profile signal minimizes cost, while satisfying technical operation constraints and consumer preferences. Constraints such as enforcing uninterruptible and sequential operations are modeled in the proposed framework using mixed integer linear programming (MILP). Several realistic scenarios based on actual spot price are considered, and the numerical results provide insight into tariff design. Computational issues and extensions of the proposed scheduling framework are also discussed.
AbstractList This paper considers the minimum electricity cost scheduling problem of smart home appliances. Operation characteristics, such as expected duration and peak power consumption of the smart appliances, can be adjusted through a power profile signal. The optimal power profile signal minimizes cost, while satisfying technical operation constraints and consumer preferences. Constraints such as enforcing uninterruptible and sequential operations are modeled in the proposed framework using mixed integer linear programming (MILP). Several realistic scenarios based on actual spot price are considered, and the numerical results provide insight into tariff design. Computational issues and extensions of the proposed scheduling framework are also discussed.
Author Kin Cheong Sou
Weimer, J.
Johansson, K. H.
Sandberg, H.
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  surname: Weimer
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  email: kallej@kth.se
  organization: ACCESS Linnaeus Center & the Autom. Control Lab., KTH R. Inst. of Technol., Sweden
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Snippet This paper considers the minimum electricity cost scheduling problem of smart home appliances. Operation characteristics, such as expected duration and peak...
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SubjectTerms Electricity
Job shop scheduling
Load management
Schedules
Washing machines
Title Scheduling smart home appliances using mixed integer linear programming
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