Active load management in an intelligent building using model predictive control strategy

Author

Yi Zong ; Kullmann, Daniel ; Thavlov, Anders ; Gehrke, Oliver ; Bindner, Henrik W.

Author_Institution

Nat. Lab. for Sustainable Energy, Riso DTU, Roskilde, Denmark

fYear

2011

fDate

19-23 June 2011

Firstpage

1

Lastpage

6

Abstract

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 load shifting in PowerFlexHouse heaters´ power consumption scheme. With this demand side control study, it is expected that this method of demand response can dramatically raise energy efficiencies and improve grid reliability, when there is a high penetration of intermittent energy resources in the power system.

Keywords

building management systems; demand side management; distributed power generation; energy conservation; power consumption; power generation reliability; power grids; predictive control; renewable energy sources; PowerFlexHouse; active load management; demand response; demand side control; distributed power system; energy efficiency; grid reliability; intelligent building; intermittent energy resources; load shifting; power consumption; renewable energy resource; thermal model predictive controller; Buildings; Electricity; Heating; Load management; Power demand; Predictive models; Active load management; distributed power system; flexible consumption; model predictive control; wind power penetration;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2011 IEEE Trondheim

Conference_Location

Trondheim

Print_ISBN

978-1-4244-8419-5

Electronic_ISBN

978-1-4244-8417-1

Type

conf

DOI

10.1109/PTC.2011.6019347

Filename

6019347