• DocumentCode
    2132306
  • Title

    Real-time scheduling for industrial load management

  • Author

    Della Vedova, Marco L. ; Facchinetti, Tullio

  • Author_Institution
    Dept. of Ind. & Inf. Eng., Univ. of Pavia, Pavia, Italy
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    707
  • Lastpage
    713
  • Abstract
    A new approach based on real-time scheduling has been recently proposed for the management of electric loads composing a power system with the goal to reduce the peak load of power consumption. The novel idea is to model the power system in terms of timing parameters traditionally adopted in the field of real-time computing systems. In this way, the activation/deactivation of devices can be managed using classical scheduling algorithms developed for executing processing tasks in real-time systems. To prove the effectiveness of the proposed methodology, this paper shows its application to an industrial plant. Electric loads are modeled using timing parameters and a real-time scheduler is used to coordinate their activation. The coordinated management achieves the peak load reduction while meeting given constraints on the industrial process under control. The paper presents the modeling approach of the industrial process. The behavior of the control method is assessed by a simulated example.
  • Keywords
    industrial plants; load management; power consumption; real-time systems; scheduling; classical scheduling algorithms; control method; coordinated management; electric load management; industrial load management; industrial plant; industrial process; peak load reduction; power consumption; power system; real-time computing systems; real-time scheduling system; Containers; Job shop scheduling; Load modeling; Power systems; Real-time systems; Schedules; Timing; Load Shedding; Modeling; Power system control; Real time systems; Scheduling; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-1453-4
  • Type

    conf

  • DOI
    10.1109/EnergyCon.2012.6348243
  • Filename
    6348243