Genetic algorithm solution for economic dispatch at Khartoum north power station

Joint Authors

Muhammad, al-Indi H. A.
Muhammad, Fath al-Rhman O.
Ahmad, Adil E.

Source

Journal of Science and Technology : in Engineering and Computer Sciences

Issue

Vol. 17, Issue 2 (31 Dec. 2016), pp.13-18, 6 p.

Publisher

Sudan University of Science and Technology Deanship of Scientific Research

Publication Date

2016-12-31

Country of Publication

Sudan

No. of Pages

6

Main Subjects

Electronic engineering
Information Technology and Computer Science

Topics

Abstract EN

in this paper, genetic algorithm (GA) solution to the economic dispatch problem at Khartoum North Power Station is presented.

The study uses GA to perfectly fix the fuel consumption problem.

GA is a highly nominated way to solve such complicated system.

The fuel-cost equations for each generator in the station have been formulated to satisfy specific constrains.

The implementation of the algorithm involves two modules: knowledge module ; holds decision making elements and genetic module, holds the optimization components such as selection, crossover, mutation and number of generation.

The algorithm works through designed procedure from which the global optima solution reached.

The results of the study revealed that the fuel cost reduced by 64005.12 €/year compared with those obtained from the station.

American Psychological Association (APA)

Ahmad, Adil E.& Muhammad, al-Indi H. A.& Muhammad, Fath al-Rhman O.. 2016. Genetic algorithm solution for economic dispatch at Khartoum north power station. Journal of Science and Technology : in Engineering and Computer Sciences،Vol. 17, no. 2, pp.13-18.
https://search.emarefa.net/detail/BIM-644643

Modern Language Association (MLA)

Ahmad, Adil E.…[et al.]. Genetic algorithm solution for economic dispatch at Khartoum north power station. Journal of Science and Technology : in Engineering and Computer Sciences Vol. 17, no. 2 (2016), pp.13-18.
https://search.emarefa.net/detail/BIM-644643

American Medical Association (AMA)

Ahmad, Adil E.& Muhammad, al-Indi H. A.& Muhammad, Fath al-Rhman O.. Genetic algorithm solution for economic dispatch at Khartoum north power station. Journal of Science and Technology : in Engineering and Computer Sciences. 2016. Vol. 17, no. 2, pp.13-18.
https://search.emarefa.net/detail/BIM-644643

Data Type

Journal Articles

Language

English

Notes

Includes appendices : p. 16-18

Record ID

BIM-644643