The University of Southampton
University of Southampton Institutional Repository

A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems

A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems
A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems
This study presents a new approach based on a hybrid algorithm consisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED). GA is the main optimizer of the algorithm, whereas PS and SQP are used to fine tune the results of GA to increase confidence in the solution. For illustrative purposes, the algorithm has been applied to various test systems to assess its effectiveness. Furthermore, convergence characteristics and robustness of the proposed method have been explored through comparison with results reported in literature. The outcome is very encouraging and suggests that the hybrid GA–PS–SQP algorithm is very efficient in solving power system economic dispatch problem.
0306-2619
1773-1781
Alsumait, J. S.
75b4b933-f82d-4352-b805-5cf045449907
Sykulski, J. K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Al-Othman, A. K.
6d55f549-47d4-4a67-aa27-0b733c3e9508
Alsumait, J. S.
75b4b933-f82d-4352-b805-5cf045449907
Sykulski, J. K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Al-Othman, A. K.
6d55f549-47d4-4a67-aa27-0b733c3e9508

Alsumait, J. S., Sykulski, J. K. and Al-Othman, A. K. (2010) A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems. Applied Energy - Elsevier, 87 (5), 1773-1781.

Record type: Article

Abstract

This study presents a new approach based on a hybrid algorithm consisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED). GA is the main optimizer of the algorithm, whereas PS and SQP are used to fine tune the results of GA to increase confidence in the solution. For illustrative purposes, the algorithm has been applied to various test systems to assess its effectiveness. Furthermore, convergence characteristics and robustness of the proposed method have been explored through comparison with results reported in literature. The outcome is very encouraging and suggests that the hybrid GA–PS–SQP algorithm is very efficient in solving power system economic dispatch problem.

Text
Applied_Energy_2010_pp_1773-1781.pdf - Version of Record
Download (424kB)

More information

Published date: May 2010
Additional Information: doi:10.1016/j.apenergy.2009.10.007
Organisations: EEE

Identifiers

Local EPrints ID: 268477
URI: http://eprints.soton.ac.uk/id/eprint/268477
ISSN: 0306-2619
PURE UUID: ef85fe56-466e-4ffa-be2d-74a8f4b2b981
ORCID for J. K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 08 Feb 2010 11:45
Last modified: 15 Mar 2024 02:34

Export record

Contributors

Author: J. S. Alsumait
Author: J. K. Sykulski ORCID iD
Author: A. K. Al-Othman

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×