DocumentCode
2933900
Title
Model Predictive Control Strategy for a Load Management Research Facility in the Distributed Power System with High Wind Penetration -Towards a Danish Power System with 50% Wind Penetration
Author
Zong, Yi ; Kullmann, Daniel ; Thavlov, Anders ; Gehrke, Oliver ; Bindner, Henrik
Author_Institution
Riso Nat. Lab. for Sustainable Energy, Tech. Univ. of Denmark, Roskilde, Denmark
fYear
2011
fDate
25-28 March 2011
Firstpage
1
Lastpage
4
Abstract
The integration of 50% wind energy into electricity system by 2025 in Denmark places strong demands on flexibility elsewhere in the system and the task of controlling the system is becoming increasingly demanding. This paper introduces PowerFlexHouse, a research facility for exploring the technical potential of active load management in a distributed power system (SYSLAB) with a high penetration of renewable energy and presents in detail on how to implement a thermal model predictive controller for the PowerFlexHouse´s power consumption prediction. With this demand side control study, we hope we can not only dramatically improve grid reliability, but also raise energy efficiencies and reduce power cost for users.
Keywords
demand side management; predictive control; wind power; Denmark; distributed power system; high wind penetration; load management research facility; model predictive control strategy; Buildings; Heating; Load management; Power demand; Predictive models; Wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location
Wuhan
ISSN
2157-4839
Print_ISBN
978-1-4244-6253-7
Type
conf
DOI
10.1109/APPEEC.2011.5748748
Filename
5748748
Link To Document