DocumentCode
648384
Title
Efficient Predictive Demand Response using Laguerre functions
Author
McNamara, Paul ; McLoone, S.
Author_Institution
Dept. of Electron. Eng., Dynamics & Control Res. Group, Nat. Univ. of Ireland Maynooth, Maynooth, Ireland
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
Predictive Demand Response (DR) algorithms allow schedulable loads in power systems to be shifted to off-peak times. However, the size of the optimisation problems associated with predictive DR can grow very large and so efficient implementations of algorithms are desirable. In this paper Laguerre functions are used to significantly reduce the size of the optimisation needed to implement predictive DR, thus significantly increasing the efficiency of the implementation.
Keywords
demand side management; optimisation; power generation scheduling; stochastic processes; Laguerre functions; off-peak times; optimisation problems; power systems; predictive DR algorithms; predictive demand response algorithms; schedulable loads; Approximation methods; Home appliances; Load modeling; Power systems; Quadratic programming; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672963
Filename
6672963
Link To Document