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 - http://www.scopus.com/inward/record.url?scp=84893167308&partnerID=8YFLogxK
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 -