Direct control implementation of a refrigeration system in smart grid

Pedersen, Rasmus; Schwensen, John; Sivabalan, Senthuran; Corazzol, Chiara; Shafiei, Seyed Ehsan; Vinther, Kasper; Stoustrup, Jakob

doi:10.1109/acc.2013.6580444

Cited by 20 publications

(12 citation statements)

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“…When modelling the evaporator, we assume that the temperature of the refrigerated goods is the same as the temperature in the display case (Larsen (2005) and Pedersen et al (2013)); hence, we do not take the heat transfer between evaporator-air and air-food into consideration. Furthermore, we disregard the dynamics of the expansion valve, and model the evaporator assuming that cooling capacity can be controlled as in Shafiei et al (2013).…”

Section: Assumptionsmentioning

confidence: 99%

“…In Shafiei et al (2013), Hovgaard et al (2011), Hovgaard et al (2012), authors present various forms of linear economic MPC for supervisory control. In Pedersen et al (2014), Pedersen et al (2013), the authors use a "leaky bucket" model for high level representation of groups of refrigeration units and solve the optimization problem using linear economic MPC as well. Nonlinear MPC for vapour compression cycle system has been demonstrated in Leducq et al (2006).…”

Section: L(x(t) U(t))dtmentioning

confidence: 99%

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From Consumption to Prosumption - Operational Cost Optimization for Refrigeration System With Heat Waste Recovery

et al. 2017

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Implementation of a liquid cooling transforms a refrigeration system into a combined cooling and heating system. Reclaimed heat can be used for building heating purposes or can be sold. Carbon dioxide based refrigeration systems are considered to have a particularly high potential for becoming efficient heat energy producers. In this paper, a CO 2 system that operates in the subcritical region is examined. The modelling approach is presented, and used for operation optimisation by way of non-linear model predictive control techniques. Assuming that the heat is sold, it turns out that the system has negative operational cost. Depending on the choice of objective function daily revenue varies from about 7.9 [eur] to 11.9 [eur].

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Section: Assumptionsmentioning

confidence: 99%

Section: L(x(t) U(t))dtmentioning

confidence: 99%

From Consumption to Prosumption - Operational Cost Optimization for Refrigeration System With Heat Waste Recovery

et al. 2017

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“…Since, this topic has received much attention research perspective [11], [12], [13]. A few research examples in the area of smart grid DER control are: optimization of domestic heat pumps [14], [15], supermarket cooling systems [16], [17], domestic refrigerators [18], [19], and electrical vehicles [20], [21]. While these works, and many more, discuss methods for remote control of DERs, they do not discuss who the DERs should communicate their flexibility to the VPP.…”

Section: Introductionmentioning

confidence: 99%

Information modeling for direct control of distributed energy resources

Biegel

Andersen

Stoustrup

et al. 2013

2013 American Control Conference

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Abstract-We present an architecture for an unbundled liberalized electricity market system where a virtual power plant (VPP) is able to control a number of distributed energy resources (DERs) directly through a two-way communication link. The aggregator who operates the VPP utilizes the accumulated flexibility of the DERs to participate in the electricity market on equal terms with conventional power plants. The focus of this paper is the interface between the DERs and the VPP: this interface must enable the aggregator to overview the total DER flexibility and remote control the DERs to provide a desired accumulated response. In this paper, we design such an information model based on the markets that the aggregator participates in and based on the flexibility characteristics of the remote controlled DERs. The information model is constructed in a modular manner making the interface suitable for a whole range of different DERs. The devised information model can serve as input to the international standardization efforts on DERs.

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“…Hovgaard et al [2012] presents an MPC algorithm to optimize cost of operation as well as providing normal ancillary services, where a non-convex optimization problem is put forward. Direct control implementation of single vapor compression cycle (VCC) is presented in Pedersen et al [2013] where a simple bucket model is introduced for energy modeling of the system. It is shown that how the flexible power consumption of refrigeration systems can be employed for minimization of the fossil fuel production sources in a small grid.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Predictive Control Scheme for Cost Optimization and Balancing Services for Supermarket Refrigeration Systems

Weerts

Shafiei

Stoustrup

et al. 2014

IFAC Proceedings Volumes

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General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract: A formulation of model predictive control for supermarket refrigeration systems is proposed to facilitate the regulatory power services as well as energy cost optimization of such systems in the smart grid. Nonlinear dynamics existing in large-scale refrigeration plants challenges the predictive control design. It is however shown that taking into account the knowledge of different time scales in the dynamical subsystems makes possible a linear formulation of a centralized predictive controller. A realistic scenario of regulatory power services in the smart grid is considered and formulated in the same objective as of a cost optimization one. A simulation benchmark validated against real data and including significant dynamics of the system is employed to show the effectiveness of the proposed control scheme.

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Direct control implementation of a refrigeration system in smart grid

Cited by 20 publications

References 10 publications

From Consumption to Prosumption - Operational Cost Optimization for Refrigeration System With Heat Waste Recovery

From Consumption to Prosumption - Operational Cost Optimization for Refrigeration System With Heat Waste Recovery

Information modeling for direct control of distributed energy resources

Model-Based Predictive Control Scheme for Cost Optimization and Balancing Services for Supermarket Refrigeration Systems

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