Cost-optimal model predictive scheduling of freezers

Roland Bálint, Attila Fodor, K. Hangos, Attila Magyar

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A cost-optimal model predictive scheduling algorithm is presented that operates in a day-ahead market. The underlying optimizer is a heuristic branch and bound algorithm that finds the constrained optimal scheduling of a freezer with respect to hourly changing energy price. The method is also able to iteratively re-estimate the heat capacity of the freezer. Simulation experiments were performed on a freezer model identified from measurement data. Results show that the proposed algorithm successfully decreased the cost of operation, however the computational complexity increases when the price is growing. The proposed method can be generalized for home appliances of different kind.

Original languageEnglish
Pages (from-to)61-69
Number of pages9
JournalControl Engineering Practice
Volume80
DOIs
Publication statusPublished - Nov 1 2018

Fingerprint

Scheduling
Domestic appliances
Optimal Scheduling
Heat Capacity
Branch and Bound Algorithm
Costs
Scheduling algorithms
Scheduling Algorithm
Heuristic algorithm
Simulation Experiment
Specific heat
Computational complexity
Computational Complexity
Energy
Model
Estimate
Experiments
Market

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Cost-optimal model predictive scheduling of freezers. / Bálint, Roland; Fodor, Attila; Hangos, K.; Magyar, Attila.

In: Control Engineering Practice, Vol. 80, 01.11.2018, p. 61-69.

Research output: Contribution to journalArticle

Bálint, Roland ; Fodor, Attila ; Hangos, K. ; Magyar, Attila. / Cost-optimal model predictive scheduling of freezers. In: Control Engineering Practice. 2018 ; Vol. 80. pp. 61-69.
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