Power optimization for a hydrocarbon industrial plant using a genetic algorithm

Muhammad Tami Al-Hajri; M. A. Abido; M. K. Darwish

doi:10.1109/UPEC.2014.6934599

Power optimization for a hydrocarbon industrial plant using a genetic algorithm

Muhammad Tami Al-Hajri^*
, M. A. Abido
, M. K. Darwish

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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 (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.

Original language	English
Title of host publication	Proceedings of the Universities Power Engineering Conference
Publisher	IEEE Computer Society
ISBN (Electronic)	9781479965571
DOIs	https://doi.org/10.1109/UPEC.2014.6934599
State	Published - 22 Oct 2014

Publication series

Name	Proceedings of the Universities Power Engineering Conference

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

BTU: British thermal unit
ESP: electrical submersible pump
GA: genetic algorithm
MMscf: millions of standard cubical feet of gas

ASJC Scopus subject areas

Energy Engineering and Power Technology

Access to Document

10.1109/UPEC.2014.6934599

Cite this

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title = "Power optimization for a hydrocarbon industrial plant using a genetic algorithm",

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.",

keywords = "BTU: British thermal unit, ESP: electrical submersible pump, GA: genetic algorithm, MMscf: millions of standard cubical feet of gas",

author = "Al-Hajri, \{Muhammad Tami\} and Abido, \{M. A.\} and Darwish, \{M. K.\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",

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doi = "10.1109/UPEC.2014.6934599",

language = "English",

series = "Proceedings of the Universities Power Engineering Conference",

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Power optimization for a hydrocarbon industrial plant using a genetic algorithm. / Al-Hajri, Muhammad Tami; Abido, M. A.; Darwish, M. K.
Proceedings of the Universities Power Engineering Conference. IEEE Computer Society, 2014. 6934599 (Proceedings of the Universities Power Engineering Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Al-Hajri, Muhammad Tami

AU - Abido, M. A.

AU - Darwish, M. K.

PY - 2014/10/22

Y1 - 2014/10/22

N2 - 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.

AB - 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.

KW - BTU: British thermal unit

KW - ESP: electrical submersible pump

KW - GA: genetic algorithm

KW - MMscf: millions of standard cubical feet of gas

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DO - 10.1109/UPEC.2014.6934599

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T3 - Proceedings of the Universities Power Engineering Conference

BT - Proceedings of the Universities Power Engineering Conference

PB - IEEE Computer Society

ER -

Power optimization for a hydrocarbon industrial plant using a genetic algorithm

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this