A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems
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.
- Published Version
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.
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
|Date Deposited:||08 Feb 2010 11:45|
|Last Modified:||24 Aug 2012 03:21|
|Contributors:||Alsumait, J. S. (Author)
Sykulski, J. K. (Author)
Al-Othman, A. K. (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||24|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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