Optimal Industrial Load Control in Smart Grid : A Case Study for Oil Refineries

Armen GHOLIAN*, Hamed MOHSENIAN-RAD*, Yingbo HUA*, Joe QIN*

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

40 Citations (Scopus)

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. © 2013 IEEE.
Original languageEnglish
Title of host publication2013 IEEE Power & Energy Society General Meeting
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781479913039
DOIs
Publication statusPublished - Jul 2013
Externally publishedYes
Event2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, Canada
Duration: 21 Jul 201325 Jul 2013

Publication series

NameIEEE Power and Energy Society General Meeting
PublisherInstitute of Electrical and Electronics Engineers
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2013 IEEE Power and Energy Society General Meeting, PES 2013
Country/TerritoryCanada
CityVancouver
Period21/07/1325/07/13

Keywords

  • Demand response
  • load management
  • manufacturing industries
  • oil refineries
  • optimal scheduling

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