Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

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 describ...

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Bibliographic Details
Main Author: Pereira, Rita (author)
Other Authors: Melício, Rui (author), Mendes, Victor (author), Figueiredo, J. (author), Martins, J. (author), Fagundes, A. (author), Quadrado, Jose Carlos (author)
Format: article
Language:eng
Published: 2015
Subjects:
Demand response
Fuzzy clustering
Smart grid
Contingency
Online Access:http://hdl.handle.net/10400.21/4497
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/4497
Description
Summary: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.

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