Peak load optimization through 2-dimensional packing and multi-processor real-time scheduling

Marco Luigi Della Vedova, Daniele De Martini, Guido Benetti, Filippo Cipolla, Davide Caprino, Tullio Facchinetti

Risultato della ricerca: Contributo in libroContributo a convegno

2 Citazioni (Scopus)

Abstract

The use of real-time scheduling methods to coordinate a set of power loads is being explored in the field of Cyber-Physical Energy Systems, with the goal of optimizing the aggregated peak load of power used by many electric loads. Real-time scheduling has attractive features in this domain. Thanks to its inherent resource optimization, which limits the number of concurrent tasks that are running at the same time, real-time scheduling provides direct benefits to peak load optimization. This paper shows the combined use of a two-dimensional binpacking method and an optimal multi-processor real-time scheduling algorithm to coordinate the activation of electric loads. The result is an effective global scheduling approach where the activation of loads is organized into a pattern that takes into account the timing constraints of the loads and the actual combination of active loads. The validation is done by scheduling a set of thermal loads (heaters) in a building, with accurately modeled temperature dynamics. The proposed method is shown to achieve a significant peak load reduction, up to around 70%, w.r.t. the traditional thermostat controller.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the Computing Frontiers Conference
Pagine275-278
Numero di pagine4
DOI
Stato di pubblicazionePubblicato - 2017
Evento14th ACM International Conference on Computing Frontiers, CF 2017 - University of Siena, ita
Durata: 15 mag 201717 mag 2017

Convegno

Convegno14th ACM International Conference on Computing Frontiers, CF 2017
CittàUniversity of Siena, ita
Periodo15/5/1717/5/17

Keywords

  • Adaptive scheduling
  • Bin-packing
  • Computer Science (all)
  • Cyber-physical energy systems
  • Demand-side management
  • Direct-load control
  • Dynamical systems
  • First-fit decreasing height
  • Hybrid switching systems
  • Partitioned scheduling
  • Peak load shaving
  • Planning and scheduling
  • Power management
  • Real-time scheduling
  • Smart grid
  • Thermal systems

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