Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10350
Title: Power optimization for a hydrocarbon industrial plant using a genetic algorithm
Authors: Al-Hajri, MT
Abido, MA
Darwish, MK
Keywords: BTU: British thermal unit;ESP: electrical submersible pump;GA: genetic algorithm;MMscf: millions of standard cubical feet of gas
Issue Date: 2014
Publisher: IEEE Computer Society
Citation: Proceedings of the Universities Power Engineering Conference (UPEC 2014), 1 - 5, Cluj-Napoca, (2-5 September 2014 )
Abstract: In 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.
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6934599
http://bura.brunel.ac.uk/handle/2438/10350
DOI: http://dx.doi.org/10.1109/UPEC.2014.6934599
ISBN: 9781479965571
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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