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

R. Pereira, R. Melicio, V. M F Mendes, J. Figueiredo, J. Martins, A. Fagundes, J. C. Quadrado

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014
PublisherIEEE Computer Society
Pages495-499
Number of pages5
ISBN (Print)9781479947492
DOIs
Publication statusPublished - 2014
Event2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014 - Ischia, Italy
Duration: 18 Jun 201420 Jun 2014

Conference

Conference2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014
CountryItaly
CityIschia
Period18/06/1420/06/14

Keywords

  • contingency
  • demand response
  • fuzzy clustering
  • smart grid

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  • Cite this

    Pereira, R., Melicio, R., Mendes, V. M. F., Figueiredo, J., Martins, J., Fagundes, A., & Quadrado, J. C. (2014). Fuzzy clustering applied to a demand response model in a smart grid contingency scenario. In 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014 (pp. 495-499). [6872122] IEEE Computer Society. https://doi.org/10.1109/SPEEDAM.2014.6872122