dc.contributor.authorLi, Yuan Zheng
dc.contributor.authorJiang, L.
dc.contributor.authorWu, Q. H.
dc.contributor.authorWang, Ping
dc.contributor.authorGooi, Hoay Beng
dc.contributor.authorLi, K. C.
dc.contributor.authorLiu, Y. Q.
dc.contributor.authorLu, P.
dc.contributor.authorCao, M.
dc.contributor.authorImura, J.
dc.date.accessioned2017-02-03T07:34:45Z
dc.date.available2017-02-03T07:34:45Z
dc.date.issued2017
dc.identifier.citationLi, Y. Z., Jiang, L., Wu, Q. H., Wang, P., Gooi, H. B., Li, K. C., et al. (2017). Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm. Knowledge-Based Systems, 116, 94-101.en_US
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://hdl.handle.net/10220/42069
dc.description.abstractThe decision support model of mean-lower semi-absolute deviation (MLSAD) and the optimization algorithm of group search optimizer with intraspecific competition and lévy walk (GSOICLW) are presented to solve wind-thermal power system dispatch. MLSAD model takes the profit and downside risk into account simultaneously brought by uncertain wind power. Using a risk tolerance parameter, the model can be converted to a single-optimization problem, which is solved by an improved optimization algorithm, GSOICLW. Afterwards, both the model and the algorithm are tested on a modified IEEE 30-bus power system. Simulation results demonstrate that the MLSAD model can well solve wind-thermal power system dispatch. The study also verifies GSOICLW obtains better convergent dispatching solutions, in comparison with other evolutionary algorithms, such as group search optimizer and particle swarm optimizer.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.description.sponsorshipEDB (Economic Devt. Board, S’pore)en_US
dc.format.extent8 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesKnowledge-Based Systemsen_US
dc.rights© 2016 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Knowledge-Based Systems, Elsevier B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.knosys.2016.10.028].en_US
dc.subjectPower system dispatchen_US
dc.subjectWind poweren_US
dc.titleWind-thermal power system dispatch using MLSAD model and GSOICLW algorithmen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.knosys.2016.10.028
dc.description.versionAccepted versionen_US


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