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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Veröffentlicht in:2011 50th IEEE Conference on Decision and Control and European Control Conference S. 5144 - 5149
Hauptverfasser: Kin Cheong Sou, Weimer, J., Sandberg, H., Johansson, K. H.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.01.2011
Schlagworte:
Electricity
Job shop scheduling
Load management
Schedules
Washing machines
ISBN:9781612848006, 1612848001
ISSN:0191-2216
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Zusammenfassung: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.
ISBN:9781612848006
1612848001
ISSN:0191-2216
DOI:10.1109/CDC.2011.6161081