Observer based Model Identification of Heat Pumps in a Smart Grid

Palle Andersen, Tom S. Pedersen, Kirsten M. Nielsen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

10 Citations (Scopus)
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Abstract

The extensive growth of installed wind energy plants in Denmark leads to increasing balancing problems in the power grid due to the nature of wind fields and variations in consumption. One way to overcome these problems is to move consumption to times where wind power otherwise cause overproduction. A part of a solution can be to take advantage of floor heat capacity in single-family houses using heat pumps.This large heat capacity makes it possible to move consumption without compromising the comfort of house residents. In a Danish research project a virtual power plant using centralized control of a large number of houses with heat pumps is established. In order to make the control algorithm a vital part is a dynamic model of each house. The model predicts the house indoor temperature when heat pump power and outdoor temperature is known. The model must be able to describe a large variety of heat pumps and houses. In the paper a house model and a method to identify the model is presented. The
Kalman observer models are optimized using measurements from real houses.

Original languageEnglish
Title of host publication2012 IEEE Multi-conference on Systems and Control
Number of pages6
Publication date2012
Pages569-574
ISBN (Print)978-1-4673-4503-3
ISBN (Electronic)978-1-4673-4504-0
DOIs
Publication statusPublished - 2012
Event2012 IEEE Multi-conference on Systems and Control - Dubrovnik, Croatia
Duration: 3 Oct 20125 Oct 2012

Conference

Conference2012 IEEE Multi-conference on Systems and Control
Country/TerritoryCroatia
CityDubrovnik
Period03/10/201205/10/2012
SeriesI E E E International Conference on Control Applications. Proceedings
ISSN1085-1992

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