Optimal scheduling of a household refrigerator using adaptive model predictive technique

Roland Bálint, Katalin M. Hangos, Attila Magyar

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

1 Citation (Scopus)

Abstract

A heuristic and adaptive model predictive control algorithm is presented in this work which operates domestic refrigerators connected to an electrical grid operating in a day-ahead market (DAM) and temperature constraints also have to be met by the refrigerator temperatures. The problem has been solved using the model predictive framework using a simple refrigerator model. This paper is a continuation of a previous work that has been extended so that the optimal scheduler algorithm adapts its steps to the actual estimated interior heat capacity of the refrigerator (which depends on the food quantity, food temperature, etc. in the interior). It is shown that the proposed adaptive MPC based scheduling algorithm gives a better performance (with respect to price) as opposed to the scheduling algorithm having no precise knowledge of the actual load of the refrigerator. Moreover, due to the adaptive behavior it was possible to decrease the running time of the optimal scheduler algorithm compared to the non-adaptive version.

Original languageEnglish
Title of host publication19th International Symposium on Power Electronics, Ee 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538635018
DOIs
Publication statusPublished - Dec 8 2017
Event19th International Symposium on Power Electronics, Ee 2017 - Novi Sad, Serbia
Duration: Oct 19 2017Oct 21 2017

Publication series

Name19th International Symposium on Power Electronics, Ee 2017
Volume2017-December

Other

Other19th International Symposium on Power Electronics, Ee 2017
CountrySerbia
CityNovi Sad
Period10/19/1710/21/17

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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  • Cite this

    Bálint, R., Hangos, K. M., & Magyar, A. (2017). Optimal scheduling of a household refrigerator using adaptive model predictive technique. In 19th International Symposium on Power Electronics, Ee 2017 (pp. 1-6). (19th International Symposium on Power Electronics, Ee 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEE.2017.8171690