Grey-box modeling for system identification of household refrigerators: A step toward smart appliances

Author

Costanzo, Giuseppe Tommaso ; Sossan, Fabrizio ; Marinelli, Mattia ; Bacher, Peder ; Madsen, Henrik

Author_Institution

Center for Electr. Power & Energy, Tech. Univ. of Denmark, Roskilde, Denmark

fYear

2013

fDate

6-8 June 2013

Firstpage

1

Lastpage

5

Abstract

This paper presents the grey-box modeling of a vapor-compression refrigeration system for residential applications based on maximum likelihood estimation of parameters in stochastic differential equations. Models obtained are useful in the view of controlling refrigerators as flexible consumption units, which operation can be shifted within temperature and operational constraints. Even if the refrigerators are not intended to be used as smart loads, validated models are useful in predicting units consumption. This information can increase the optimality of the management of other flexible units, such as heat pumps for space heating, in order to smooth the load factor during peak hours, enhance reliability and efficiency in power networks and reduce operational costs.

Keywords

differential equations; grey systems; maximum likelihood estimation; power system parameter estimation; power system simulation; refrigerators; stochastic processes; flexible consumption units; grey-box modeling; heat pumps; household refrigerators; load factor; maximum likelihood estimation; operational constraints; operational costs; peak hours; power networks; residential applications; smart appliances; smart loads; space heating; stochastic differential equations; system identification; temperature constraints; units consumption; vapor-compression refrigeration system; Heating; Load shifting; Refrigerators; Stochastic processes; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy (IYCE), 2013 4th International Youth Conference on

Conference_Location

Sio??fok

Type

conf

DOI

10.1109/IYCE.2013.6604197

Filename

6604197