Beta
66916

Solving Unit Commitment Problem in Regulated and Deregulated Power Systems Using Particle Swarm Algorithm

Article

Last updated: 25 Dec 2024

Subjects

-

Tags

-

Abstract

Abstract- An important criterion in power system operation is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, thermal unit commitment is considered to be one of the best available options. It is thus recognized that the optimal unit commitment of thermal systems results in a great saving for electric utilities. The unit commitment has been identified for this paper work. The complexity of the UC problems grows exponentially to the number of generating units especially by applying the deregulated rules in power system. Where in this environment the objective function is maximizing the profit while satisfying the regular unit commitment constrains with addition of new constrains such as bilateral and multilateral contracts. The formulation of unit commitment has been discussed and the solution is obtained by an algorithm based on Particle Swarm Optimization technique the proposed algorithm is implemented in MATLAB environment.

DOI

10.21608/erjm.2014.66916

Keywords

particle swarm optimization (PSO), Unit Commitment, optimization methods, power generation dispatch

Authors

First Name

Sahar.S.

Last Name

Kaddah

MiddleName

-

Affiliation

Department of electrical Power Engineering University of Mansoura

Email

-

City

-

Orcid

-

First Name

Ragab.A.

Last Name

Elsehiemy

MiddleName

-

Affiliation

Department of electrical Power Engineering University of Kafr elshiekh

Email

-

City

-

Orcid

-

First Name

Alaa .A.

Last Name

Zaky

MiddleName

-

Affiliation

Department of electrical Power Engineering University of Kafr elshiekh

Email

-

City

-

Orcid

-

Volume

37

Article Issue

2

Related Issue

10098

Issue Date

2014-04-01

Receive Date

2019-12-30

Publish Date

2014-04-01

Page Start

165

Page End

177

Print ISSN

1110-1180

Online ISSN

3009-6944

Link

https://erjm.journals.ekb.eg/article_66916.html

Detail API

https://erjm.journals.ekb.eg/service?article_code=66916

Order

13

Type

Original Article

Type Code

1,118

Publication Type

Journal

Publication Title

ERJ. Engineering Research Journal

Publication Link

https://erjm.journals.ekb.eg/

MainTitle

Solving Unit Commitment Problem in Regulated and Deregulated Power Systems Using Particle Swarm Algorithm

Details

Type

Article

Created At

22 Jan 2023