Applied energy, 2010-05, Vol.87 (5), p.1773-1781
2010
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Details
- Autor(en) / Beteiligte
- Titel
- A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems
- Ist Teil von
- Applied energy, 2010-05, Vol.87 (5), p.1773-1781
- Ort / Verlag
- Kidlington: Elsevier Ltd
- Erscheinungsjahr
- 2010
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0306-2619eISSN: 1872-9118DOI: 10.1016/j.apenergy.2009.10.007Titel-ID: cdi_proquest_miscellaneous_907938281
- Format
- –
- Schlagworte
- Algorithms, Applied sciences, Convergence, Direct Search method, Economic data, Economic dispatch, Economic dispatch Valve-point effect Direct Search method Pattern Search method (PS) Genetic Algorithms (GA) Sequential Quadratic Programming (SQP), Economics, Electric energy, Energy, Energy economics, Exact sciences and technology, General, economic and professional studies, Genetic algorithms, Genetic Algorithms (GA), Methodology. Modelling, Pattern search, Pattern Search method (PS), Polystyrene resins, Quadratic programming, Robustness, Sequential Quadratic Programming (SQP), Valve-point effect