Cost-optimal model predictive scheduling of home appliances

Roland Bálint, Attila Magyar, Katalin M. Hangos

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A novel heuristic model-based optimal scheduling algorithm is proposed in this paper to operate heating and cooling type home appliances connected to smart grids where the price of the electrical energy is known in advance and temperature constraints are present. The properties and the use of the proposed algorithm are shown using a simple refrigerator model. The accuracy and the computational properties of the proposed method are compared to the schedule generated by the MPT toolbox. The algorithm works well with a relatively short prediction horizon using a fraction of the computing time needed for the MPT-based method. The robustness of the algorithm is also investigated with respect to the load of the refrigerator. It is shown that the designed schedule with an empty refrigerator is always suitable, yet not optimal, for any loaded case.

Original languageEnglish
Pages (from-to)3344-3349
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
Publication statusPublished - Jul 2017

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Keywords

  • Demand side management
  • Heuristics
  • Model predictive control
  • Scheduling algorithms
  • Smart grids

ASJC Scopus subject areas

  • Control and Systems Engineering

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