Solving the economic dispatch problem by using differential evolution

dc.contributor.authorS. Khamsawang
dc.contributor.authorP. Wannakarn
dc.contributor.authorS. Pothiya
dc.contributor.authorS. Jiriwibhakorn
dc.date.accessioned2025-07-21T05:50:37Z
dc.date.issued2009-05-01
dc.description.abstractThis paper proposes an application of the differential evolution (DE) algorithm for solving the economic dispatch problem (ED). Furthermore, the regenerating population procedure added to the conventional DE in order to improve escaping the local minimum solution. To test performance of DE algorithm, three thermal generating units with valve-point loading effects is used for testing. Moreover, investigating the DE parameters is presented. The simulation results show that the DE algorithm, which had been adjusted parameters, is better convergent time than other optimization methods.
dc.identifier.doi10.1109/ecticon.2009.5136995
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/2142
dc.subjectDifferential Evolution
dc.subjectEconomic Dispatch
dc.subject.classificationElectric Power System Optimization
dc.titleSolving the economic dispatch problem by using differential evolution
dc.typeArticle

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