Title :
Fuzzy clustering applied to a demand response model in a smart grid contingency scenario
Author :
Pereira, Rui ; Melicio, R. ; Mendes, V.M.F. ; Figueiredo, Jose ; Martins, Joao ; Fagundes, A. ; Quadrado, Jose Carlos
Author_Institution :
Dept. of Phys., Univ. de Evora, Evora, Portugal
Abstract :
This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.
Keywords :
demand side management; fuzzy set theory; pattern clustering; power system economics; smart power grids; consumption needs; demand response model analysis; economic benefits; fuzzy clustering technique; smart grid contingency scenario; Atmospheric modeling; Economics; Load management; Load modeling; Mathematical model; Power demand; Smart grids; contingency; demand response; fuzzy clustering; smart grid;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on
Conference_Location :
Ischia
DOI :
10.1109/SPEEDAM.2014.6872122
