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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748748