Supermarket Defrost Cycles As Flexible Reserve

Rasmus Pedersen; Christoffer Sloth; Rafal Wisniewski; Torben Green

doi:10.1109/CCA.2015.7320706

Supermarket Defrost Cycles As Flexible Reserve

Rasmus Pedersen, Christoffer Sloth, Rafal Wisniewski, Torben Green

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

Abstract

This work analyses how supermarket defrost cycles can be used as flexible reserve in a smart grid context. The consumption flexibility originates from being able to shift defrost cycles in time, while adhering to the underlying refrigeration systems constraints. It is shown how this time constrained behavior can be modeled and used by a defrost planner to optimally schedule defrost start times for several defrost cycles, according to electricity price. Because the defrost planning problem is a boolean programming problem a method of relaxing it is proposed. While the relaxed problem requires less computational effort, convexity is dependent on properties of the price signal. Simulation study show that the optimal planning strategy can reduce cost of defrost cycles with 31.7%, compared to a current strategy of executing all defrost cycles at the same time each day. Copyright ©2015 by IEEE

Original language	English
Title of host publication	IEEE Conference on Control Applications (CCA), 2015
Publisher	IEEE Press
Publication date	2015
Pages	744 - 749
ISBN (Electronic)	978-1-4799-7787-1
DOIs	https://doi.org/10.1109/CCA.2015.7320706
Publication status	Published - 2015
Event	2015 IEEE Multi-Conference on Systems and Control - Novotel Sydney Manly Pacific, Sydney, Australia Duration: 21 Sept 2015 → 23 Sept 2015

Conference

Conference	2015 IEEE Multi-Conference on Systems and Control
Location	Novotel Sydney Manly Pacific
Country/Territory	Australia
City	Sydney
Period	21/09/2015 → 23/09/2015

Series	I E E E International Conference on Control Applications. Proceedings
ISSN	1085-1992

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10.1109/CCA.2015.7320706

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Smart Control of Energy Distribution Grids over Heterogeneous Communication Networks (SmartC2Net)
Schwefel, H. C., Iov, F., Bak-Jensen, B., Mahat, P., Pillai, J. R., Olsen, R. L., Madsen, T. K., Wisniewski, R., Sloth, C. & Bendtsen, J. D.
Det Obelske Familiefond, FP7
01/01/2013 → 31/12/2015
Project: Research

Cite this

@inproceedings{5493326bff7546aeaa79991e72ec9c0d,

title = "Supermarket Defrost Cycles As Flexible Reserve",

abstract = "This work analyses how supermarket defrost cycles can be used as flexible reserve in a smart grid context. The consumption flexibility originates from being able to shift defrost cycles in time, while adhering to the underlying refrigeration systems constraints. It is shown how this time constrained behavior can be modeled and used by a defrost planner to optimally schedule defrost start times for several defrost cycles, according to electricity price. Because the defrost planning problem is a boolean programming problem a method of relaxing it is proposed. While the relaxed problem requires less computational effort, convexity is dependent on properties of the price signal. Simulation study show that the optimal planning strategy can reduce cost of defrost cycles with 31.7%, compared to a current strategy of executing all defrost cycles at the same time each day. Copyright {\textcopyright}2015 by IEEE",

author = "Rasmus Pedersen and Christoffer Sloth and Rafal Wisniewski and Torben Green",

year = "2015",

doi = "10.1109/CCA.2015.7320706",

language = "English",

series = "I E E E International Conference on Control Applications. Proceedings",

publisher = "IEEE Press",

pages = "744 -- 749",

booktitle = "IEEE Conference on Control Applications (CCA), 2015",

note = "2015 IEEE Multi-Conference on Systems and Control ; Conference date: 21-09-2015 Through 23-09-2015",

}

Pedersen, R, Sloth, C, Wisniewski, R & Green, T 2015, Supermarket Defrost Cycles As Flexible Reserve. in IEEE Conference on Control Applications (CCA), 2015. IEEE Press, I E E E International Conference on Control Applications. Proceedings, pp. 744 - 749, 2015 IEEE Multi-Conference on Systems and Control, Sydney, Australia, 21/09/2015. https://doi.org/10.1109/CCA.2015.7320706

Supermarket Defrost Cycles As Flexible Reserve. / Pedersen, Rasmus; Sloth, Christoffer; Wisniewski, Rafal et al.
IEEE Conference on Control Applications (CCA), 2015. IEEE Press, 2015. p. 744 - 749 (I E E E International Conference on Control Applications. Proceedings).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Supermarket Defrost Cycles As Flexible Reserve

AU - Pedersen, Rasmus

AU - Sloth, Christoffer

AU - Wisniewski, Rafal

AU - Green, Torben

PY - 2015

Y1 - 2015

N2 - This work analyses how supermarket defrost cycles can be used as flexible reserve in a smart grid context. The consumption flexibility originates from being able to shift defrost cycles in time, while adhering to the underlying refrigeration systems constraints. It is shown how this time constrained behavior can be modeled and used by a defrost planner to optimally schedule defrost start times for several defrost cycles, according to electricity price. Because the defrost planning problem is a boolean programming problem a method of relaxing it is proposed. While the relaxed problem requires less computational effort, convexity is dependent on properties of the price signal. Simulation study show that the optimal planning strategy can reduce cost of defrost cycles with 31.7%, compared to a current strategy of executing all defrost cycles at the same time each day. Copyright ©2015 by IEEE

AB - This work analyses how supermarket defrost cycles can be used as flexible reserve in a smart grid context. The consumption flexibility originates from being able to shift defrost cycles in time, while adhering to the underlying refrigeration systems constraints. It is shown how this time constrained behavior can be modeled and used by a defrost planner to optimally schedule defrost start times for several defrost cycles, according to electricity price. Because the defrost planning problem is a boolean programming problem a method of relaxing it is proposed. While the relaxed problem requires less computational effort, convexity is dependent on properties of the price signal. Simulation study show that the optimal planning strategy can reduce cost of defrost cycles with 31.7%, compared to a current strategy of executing all defrost cycles at the same time each day. Copyright ©2015 by IEEE

U2 - 10.1109/CCA.2015.7320706

DO - 10.1109/CCA.2015.7320706

M3 - Article in proceeding

T3 - I E E E International Conference on Control Applications. Proceedings

SP - 744

EP - 749

BT - IEEE Conference on Control Applications (CCA), 2015

PB - IEEE Press

T2 - 2015 IEEE Multi-Conference on Systems and Control

Y2 - 21 September 2015 through 23 September 2015

ER -

Supermarket Defrost Cycles As Flexible Reserve

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Projects

Smart Control of Energy Distribution Grids over Heterogeneous Communication Networks (SmartC2Net)

Cite this