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
Link To Document :
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