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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Detalhes bibliográficos
Autor principal: Pereira, Rita (author)
Outros Autores: Melício, Rui (author), Mendes, Victor (author), Figueiredo, J. (author), Martins, J. (author), Fagundes, A. (author), Quadrado, Jose Carlos (author)
Formato: article
Idioma:eng
Publicado em: 2015
Assuntos:
Demand response
Fuzzy clustering
Smart grid
Contingency
Texto completo:http://hdl.handle.net/10400.21/4497
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/4497
Descrição
Resumo: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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