Model Predictive Control for Flexible Power Consumption of Large-Scale Refrigeration Systems

Seyed Ehsan Shafiei, Jakob Stoustrup, Henrik Rasmussen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

8 Citationer (Scopus)
196 Downloads (Pure)

Resumé

A model predictive control (MPC) scheme is introduced to directly control the electrical power consumption of large-scale refrigeration systems. Deviation from the baseline of the consumption is corresponded to the storing and delivering of thermal energy. By virtue of such correspondence, the control method can be employed for regulating power services in the smart grid. The proposed scheme contains the control of cooling capacity as well as optimizing the efficiency factor of the system, which is in general a nonconvex optimization problem. By introducing a fictitious manipulated variable, and novel incorporation of the evaporation temperature set-point into optimization problem, the convex optimization problem is formulated within the MPC scheme. The method is applied to a simulation benchmark of large-scale refrigeration systems including several medium and low temperature cold reservoirs.
OriginalsprogEngelsk
TitelAmerican Control Conference (ACC), 2014
ForlagIEEE Press
Publikationsdato2014
Sider412-417
ISBN (Trykt)978-1-4799-3272-6
DOI
StatusUdgivet - 2014
Begivenhed2014 American Control Conference (ACC) - Portland, OR, USA
Varighed: 4 jun. 20146 jun. 2014

Konference

Konference2014 American Control Conference (ACC)
LandUSA
ByPortland, OR
Periode04/06/201406/06/2014
NavnAmerican Control Conference
ISSN0743-1619

Fingerprint

Model predictive control
Refrigeration
Electric power utilization
Convex optimization
Thermal energy
Evaporation
Cooling
Temperature

Citer dette

Shafiei, S. E., Stoustrup, J., & Rasmussen, H. (2014). Model Predictive Control for Flexible Power Consumption of Large-Scale Refrigeration Systems. I American Control Conference (ACC), 2014 (s. 412-417). IEEE Press. American Control Conference https://doi.org/10.1109/ACC.2014.6858921
Shafiei, Seyed Ehsan ; Stoustrup, Jakob ; Rasmussen, Henrik. / Model Predictive Control for Flexible Power Consumption of Large-Scale Refrigeration Systems. American Control Conference (ACC), 2014. IEEE Press, 2014. s. 412-417 (American Control Conference).
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Shafiei, SE, Stoustrup, J & Rasmussen, H 2014, Model Predictive Control for Flexible Power Consumption of Large-Scale Refrigeration Systems. i American Control Conference (ACC), 2014. IEEE Press, American Control Conference, s. 412-417, Portland, OR, USA, 04/06/2014. https://doi.org/10.1109/ACC.2014.6858921

Model Predictive Control for Flexible Power Consumption of Large-Scale Refrigeration Systems. / Shafiei, Seyed Ehsan; Stoustrup, Jakob; Rasmussen, Henrik.

American Control Conference (ACC), 2014. IEEE Press, 2014. s. 412-417 (American Control Conference).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AB - A model predictive control (MPC) scheme is introduced to directly control the electrical power consumption of large-scale refrigeration systems. Deviation from the baseline of the consumption is corresponded to the storing and delivering of thermal energy. By virtue of such correspondence, the control method can be employed for regulating power services in the smart grid. The proposed scheme contains the control of cooling capacity as well as optimizing the efficiency factor of the system, which is in general a nonconvex optimization problem. By introducing a fictitious manipulated variable, and novel incorporation of the evaporation temperature set-point into optimization problem, the convex optimization problem is formulated within the MPC scheme. The method is applied to a simulation benchmark of large-scale refrigeration systems including several medium and low temperature cold reservoirs.

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Shafiei SE, Stoustrup J, Rasmussen H. Model Predictive Control for Flexible Power Consumption of Large-Scale Refrigeration Systems. I American Control Conference (ACC), 2014. IEEE Press. 2014. s. 412-417. (American Control Conference). https://doi.org/10.1109/ACC.2014.6858921