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101474

Solving Multi-Area Economic Dispatch with Multiple Fuels Using Hybrid Optimization Technique.

Article

Last updated: 22 Jan 2023

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Electrical Engineering

Abstract

Multi-area economic dispatch (MAED) deals with the optimal dispatch of multiple areas. MAED with tie line constraints, transmission losses, multiple fuel option and valve point effects is considered as a large scale non-linear optimization problem. An accurate optimization method to solve this problem is of great interest. However the conventional particle swarm optimization (PSO) has been applied to solve many optimization problems with success, it suffers from some drawbacks. Therefore, chaotic PSO (CPSO) has been used to treat these drawbacks. Choosing the parameters of CPSO has a great effect on its performance. So, a hybrid CPSO and genetic algorithm (HCPSOGA) method is employed in this paper to solve this problem. The hybrid method is derived by combining CPSO and GA where GA is used to optimize the parameters of CPSO. To show the effectiveness of the hybrid method, two test systems are used. The results show the superiority of the hybrid method over some published methods based on same test systems.

DOI

10.21608/bfemu.2020.101474

Keywords

Economic dispatch, multi area economic dispatch, multiple fuels, chaotic particle swarm optimization, Genetic Algorithm

Authors

First Name

Ehab

Last Name

Elattar

MiddleName

E.

Affiliation

Department of Electrical Engineering, Faculty of Engineering, Minoufiya University, Shebin El-Kom, Egypt

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Orcid

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Volume

40

Article Issue

3

Related Issue

15376

Issue Date

2015-09-01

Receive Date

2015-06-14

Publish Date

2020-07-08

Page Start

36

Page End

47

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 40_Issue 3_Pages 36-47.pdf

PDF . 305.5kB

Link

https://bfemu.journals.ekb.eg/article_101474.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=101474

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

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

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Article

Created At

22 Jan 2023