A professional bachelor project report from Aalborg University
Prediction of electricity consumption of heat pumps for use in an intelligent power-grid
[Forudsigelse af varmepumpers strømforbrug til brug i et intelligent elnet]
Author(s)
Term
7. term
Education
Publication year
2015
Submitted on
2015-02-05
Pages
61 pages
Abstract
The Danish power-grid has to include more renewable energy. By 2050 the consumption has to be 100 % based on renewable energy. This means more wind-power, and other intermittent power producers will be incorporated in the grid. Since the energy-producers are not well-suited to change their production, the demand-side has to be more flexible in the future. One way of making the demand more flexible is by gathering electricity consumers in a Virtual Power Plant (VPP) and control when they are using power and not. This study is focused on predicting the power of a VPP consisting of a pool of heat pumps. A model has been developed, together with methods for estimating the parameters for the model, and an approach to evaluating the performance of the model. The model takes data from the “Control Your Heat Pump” platform to make the parameter-estimation. The report demonstrates how this model is deployed by using Matlab and YALMIP.
The Danish power-grid has to include more renewable energy. By 2050 the consumption has to be 100 % based on renewable energy. This means more wind-power, and other intermittent power producers will be incorporated in the grid. Since the energy-producers are not well-suited to change their production, the demand-side has to be more flexible in the future. One way of making the demand more flexible is by gathering electricity consumers in a Virtual Power Plant (VPP) and control when they are using power and not. This study is focused on predicting the power of a VPP consisting of a pool of heat pumps. A model has been developed, together with methods for estimating the parameters for the model, and an approach to evaluating the performance of the model. The model takes data from the “Control Your Heat Pump” platform to make the parameter-estimation. The report demonstrates how this model is deployed by using Matlab and YALMIP.
Keywords
VPP ; READY ; Neogrid ; Model prediction ; Smart grid ; Smart Grid Ready ; Styr Din Varmepumpe ; ForskEL
Documents
Colophon: This page is part of the AAU Student Projects portal, which is run by Aalborg University. Here, you can find and download publicly available bachelor's theses and master's projects from across the university dating from 2008 onwards. Student projects from before 2008 are available in printed form at Aalborg University Library.
If you have any questions about AAU Student Projects or the research registration, dissemination and analysis at Aalborg University, please feel free to contact the VBN team. You can also find more information in the AAU Student Projects FAQs.