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131358

A Genetic Based Algorithm for Short-Term Thermal Generating Unit Commitment.

Article

Last updated: 22 Jan 2023

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Subjects

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Tags

Electrical Engineering

Abstract

Unit Commitment is one of  the most complex and difficult optimization problem in power systems. The objective of the optimal commitment is to determine the on/off states of the units in the system to meet the load demand and spinning reserve requirements at each time period, such that the overall cost of generation is minimized, while satisfying the various operational constraints. This paper presents the application of an improved genetic algorithm (GA) with crossover, mutation, and advanced operators such as repair and swap mutation to determine the commitment order of the thermal units in power generation. The proposed GA has been successfully applied to 10 and 26 generating-unit systems. Robustness of the proposed GA is demonstrated by comparison to the dynamic programming algorithm. The comparison results show the effectiveness of the proposed GA in solving the unit commitment problem with sufficient accuracy and low computational time. 
 

DOI

10.21608/bfemu.2020.131358

Authors

First Name

Mohamed Ibrahim

Last Name

Ibrahim

MiddleName

El-said

Affiliation

Electrical Power &Machines Dept., Faculty of Eng., Mansoura University.

Email

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City

Mansoura

Orcid

-

Volume

30

Article Issue

2

Related Issue

19435

Issue Date

2005-06-01

Receive Date

2005-04-11

Publish Date

2020-12-21

Page Start

1

Page End

10

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 30_Issue 2_Pages 1-10.pdf

PDF . 318.1kB

Link

https://bfemu.journals.ekb.eg/article_131358.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=131358

Order

2

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023