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
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;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672963