Power Optimization for a Hydrocarbon Industrial Plant Using a Genetic Algorithm

被引：0

作者：

Al-Hajri, Muhammad Tami ^{[1
]}

Abido, M. A. ^{[2
]}

Darwish, M. K. ^{[1
]}

机构：

[1] Brunel Univ, Uxbridge UB8 3PH, Middx, England

[2] King Fahd Univ Petr & Minerals, Dhahran 31261, Saudi Arabia

来源：

2014 49TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC) | 2014年

关键词：

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

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 (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.

引用

页数：5

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