NDLI: Observer based model identification of heat pumps in a smart grid

Content Provider	IEEE Xplore Digital Library
Author	Andersen, P. Pedersen, T.S. Nielsen, K.M.
Copyright Year	2012
Description	Author affiliation: Institute of Electronic Systems, Automation and Control, Aalborg University, DK-9320, Denmark (Andersen, P.; Pedersen, T.S.; Nielsen, K.M.)
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.
Starting Page	569
Ending Page	574
File Size	313058
Page Count	6
File Format	PDF
ISBN	9781467345033
ISSN	10851992
e-ISBN	9781467345057
e-ISBN	9781467345040
DOI	10.1109/CCA.2012.6402428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-03
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heat pumps Water heating Temperature measurement Companies Predictive models Power measurement
Content Type	Text
Resource Type	Article

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