A fuzzy clustering approach to a demand response model

This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The model development provides support to domestic consumer decisions on controllable loads management, considering consumers' consumption needs and the appropriate load shape or rescheduling in order...

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Bibliographic Details
Main Author: Pereira, Rita (author)
Other Authors: Fagundes, A. (author), Melício, Rui (author), Mendes, Victor (author), J. Figueiredo (author), J. Martins (author), Quadrado, Jose Carlos (author)
Format: article
Language:eng
Published: 2016
Subjects:
Demand response
Smart grid
Fuzzy clustering
Load management
Online Access:http://hdl.handle.net/10400.21/6248
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/6248
Description
Summary:This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The model development provides support to domestic consumer decisions on controllable loads management, considering consumers' consumption needs and the appropriate load shape or rescheduling in order to achieve possible economic benefits. The model based on fuzzy subtractive clustering method considers clusters of domestic consumption covering an adequate consumption range. Analysis of different scenarios is presented considering available electric power and electric energy prices. Simulation results are presented and conclusions of the proposed demand response model are discussed. (C) 2016 Elsevier Ltd. All rights reserved.

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