Conference paper
Regulating Power from Supermarket Refrigeration
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Department of Electrical Engineering, Technical University of Denmark3
Center for Electric Power and Energy, Centers, Technical University of Denmark4
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark5
University College Dublin6
Danfoss AS7
CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark8
This paper presents an analysis of the demand response capabilities of a supermarket refrigeration system, with a particular focus on the suitability for participation in the regulating power market. An ARMAX model of a supermarket refrigeration system is identified using experimental data from the Danfoss refrigeration test centre.
The complexities of modelling demand response are demonstrated through simulation. Simulations are conducted by placing the identified model in a direct-control demand response architecture, with power reference tracking using model predictive control. The energylimited nature of demand response from refrigeration is identified as the key consideration when considering participation in the regulating power market.
It is demonstrated that by restricting the operating regions of the supermarket refrigeration system, a simple relationship can be found between the available up- or down-regulation power, and the duration for which the service can be sustained. The available demand response resource within these operational restrictions is reduced from the optimised physical capabilities.
The benefit of these restrictions is that the available demand response can be represented in a manner that is sufficiently simple to communicate to a market operator in the form of a bid for the provision of regulating power.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2014 |
| Pages: | 1-6 |
| Proceedings: | 2014 IEEE PES Innovative Smart Grid Technologies Conference, Europe |
| ISBN: | 1479977209 , 1479977217 , 9781479977208 and 9781479977215 |
| Types: | Conference paper |
| DOI: | 10.1109/ISGTEurope.2014.7028781 |
| ORCIDs: | O'Connell, Niamh , Madsen, Henrik and Pinson, Pierre |
ARMAX model Danfoss refrigeration test centre Data models Demand Response Electricity Markets Load management Mathematical model Power demand Predictive models Regulating Power Smart Grid Steady-state Time Series Analysis demand response capabilities demand response modelling demand side management direct-control demand response architecture down-regulation power energy-limited nature model predictive control operational restrictions power control power market regulation power markets power reference tracking predictive control refrigeration supermarket refrigeration system up-regulation power
