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

Armen GHOLIAN; Hamed MOHSENIAN-RAD; Yingbo HUA; Joe QIN

doi:10.1109/PESMG.2013.6672710

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 Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

46 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 language	English
Title of host publication	2013 IEEE Power & Energy Society General Meeting
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781479913039
DOIs	https://doi.org/10.1109/PESMG.2013.6672710
Publication status	Published - Jul 2013
Externally published	Yes
Event	2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, Canada Duration: 21 Jul 2013 → 25 Jul 2013

Publication series

Name	IEEE Power and Energy Society General Meeting
Publisher	Institute of Electrical and Electronics Engineers
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2013 IEEE Power and Energy Society General Meeting, PES 2013
Country/Territory	Canada
City	Vancouver
Period	21/07/13 → 25/07/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Demand response
load management
manufacturing industries
oil refineries
optimal scheduling

Access to Document

10.1109/PESMG.2013.6672710

Cite this

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title = "Optimal Industrial Load Control in Smart Grid : A Case Study for Oil Refineries",

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. {\textcopyright} 2013 IEEE.",

keywords = "Demand response, load management, manufacturing industries, oil refineries, optimal scheduling",

author = "Armen GHOLIAN and Hamed MOHSENIAN-RAD and Yingbo HUA and Joe QIN",

year = "2013",

month = jul,

doi = "10.1109/PESMG.2013.6672710",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "2013 IEEE Power \& Energy Society General Meeting",

address = "United States",

note = "2013 IEEE Power and Energy Society General Meeting, PES 2013 ; Conference date: 21-07-2013 Through 25-07-2013",

}

GHOLIAN, A, MOHSENIAN-RAD, H, HUA, Y & QIN, J 2013, Optimal Industrial Load Control in Smart Grid : A Case Study for Oil Refineries. in 2013 IEEE Power & Energy Society General Meeting., 6672710, IEEE Power and Energy Society General Meeting, Institute of Electrical and Electronics Engineers, 2013 IEEE Power and Energy Society General Meeting, PES 2013, Vancouver, British Columbia, Canada, 21/07/13. https://doi.org/10.1109/PESMG.2013.6672710

Optimal Industrial Load Control in Smart Grid : A Case Study for Oil Refineries. / GHOLIAN, Armen; MOHSENIAN-RAD, Hamed; HUA, Yingbo et al.
2013 IEEE Power & Energy Society General Meeting. Institute of Electrical and Electronics Engineers, 2013. 6672710 (IEEE Power and Energy Society General Meeting).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

TY - GEN

T1 - Optimal Industrial Load Control in Smart Grid : A Case Study for Oil Refineries

AU - GHOLIAN, Armen

AU - MOHSENIAN-RAD, Hamed

AU - HUA, Yingbo

AU - QIN, Joe

PY - 2013/7

Y1 - 2013/7

N2 - 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.

AB - 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.

KW - Demand response

KW - load management

KW - manufacturing industries

KW - oil refineries

KW - optimal scheduling

UR - https://www.scopus.com/pages/publications/84893167308

U2 - 10.1109/PESMG.2013.6672710

DO - 10.1109/PESMG.2013.6672710

M3 - Conference paper (refereed)

T3 - IEEE Power and Energy Society General Meeting

BT - 2013 IEEE Power & Energy Society General Meeting

PB - Institute of Electrical and Electronics Engineers

T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013

Y2 - 21 July 2013 through 25 July 2013

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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