Power optimization for a hydrocarbon industrial plant using a genetic algorithm

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 mot...

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Bibliographic Details
Published in2014 49th International Universities Power Engineering Conference (UPEC) pp. 1 - 5
Main Authors Al-Hajri, Muhammad Tami, Abido, M. A., Darwish, M. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2014
Subjects
Biological cells
BTU: British thermal unit
ESP: electrical submersible pump
GA: genetic algorithm
Generators
Genetic algorithms
Linear programming
MMscf: millions of standard cubical feet of gas
Optimization
Reactive power
Synchronous motors
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DOI10.1109/UPEC.2014.6934599

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Summary: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 (J 1 ) objective is used to guide the optimization process, and, consequently, the injected power into the grid (PR Inject ) 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.
DOI:10.1109/UPEC.2014.6934599