Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/10350
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dc.contributor.authorAl-Hajri, MT-
dc.contributor.authorAbido, MA-
dc.contributor.authorDarwish, MK-
dc.date.accessioned2015-03-09T10:50:41Z-
dc.date.available2014-10-22-
dc.date.available2015-03-09T10:50:41Z-
dc.date.issued2014-
dc.identifier.citationProceedings of the Universities Power Engineering Conference (UPEC 2014), 1 - 5, Cluj-Napoca, (2-5 September 2014 )en_US
dc.identifier.isbn9781479965571-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6934599-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/10350-
dc.description.abstractIn this paper, a genetic algorithm (GA) is considered for optimizing electrical power loss for a real hydrocarbon industrial plant as a single objective problem. The subject plant electrical system consists of 275 buses, two gas turbine generators, two steam turbine generators, large synchronous motors, and other rotational and static loads. The minimization of power losses (J1) objective is used to guide the optimization process, and, consequently, the injected power into the grid (PRInject) is increased. The results obtained demonstrate the potential and effectiveness of the proposed approach to optimize the power consumption. Also, in this paper a cost appraisal for the potential daily, monthly and annual cost saving will be addressed.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.subjectBTU: British thermal uniten_US
dc.subjectESP: electrical submersible pumpen_US
dc.subjectGA: genetic algorithmen_US
dc.subjectMMscf: millions of standard cubical feet of gasen_US
dc.titlePower optimization for a hydrocarbon industrial plant using a genetic algorithmen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/UPEC.2014.6934599-
dc.relation.isPartOfProceedings of the Universities Power Engineering Conference-
dc.relation.isPartOfProceedings of the Universities Power Engineering Conference-
dc.relation.isPartOfProceedings of the Universities Power Engineering Conference-
dc.relation.isPartOfProceedings of the Universities Power Engineering Conference-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures/Smart Power Networks-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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