• DocumentCode
    648141
  • Title

    Optimal industrial load control in smart grid: A case study for oil refineries

  • Author

    Gholian, Armen ; Mohsenian-Rad, Hamed ; Yingbo Hua ; Qin, Jiahu

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Riverside, Riverside, CA, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The current literature on optimal load control is mainly focused on residential and commercial load sectors. In this paper, we investigate optimal load control for industrial load which involves several new and distinct research challenges. For example, while most residential appliances operate independently, industrial units are highly inter-dependent and must follow a certain operational sequence. This is particularly the case in industries that involve process control: each unit can start operation only if its feeding units finish their operations. Considering an oil refinery industry as an example, we not only identify some of the most important operational sequences in this particular industry, but also develop mathematical models that can help us integrate the identified operational sequences in an optimization-based industrial load control framework. We assess the performance of our design through various simulations.
  • Keywords
    load regulation; oil refining; optimal control; smart power grids; oil refineries; operational sequences; optimal industrial load control; optimization-based industrial load control; process control; smart grid; Electricity; Industries; Job shop scheduling; Load flow control; Optimal scheduling; Schedules; Demand response; load management; manufacturing industries; oil refineries; optimal scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672710
  • Filename
    6672710