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Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/7476
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dc.contributor.authorOsaremwinda, O. P.-
dc.contributor.authorNwohu, M. N.-
dc.contributor.authorKolo, J. G.-
dc.date.accessioned2021-07-08T15:23:35Z-
dc.date.available2021-07-08T15:23:35Z-
dc.date.issued2017-
dc.identifier.citationOsaremwinda O. P., Nwohu M. N., Kolo J. G. (2017) A Comparative Study of Meta-heuristics Algorithms in evaluation of Economic Load Dispatch Problems in Power Generating Station with Matlab Codes. Journal of Electrical & Electronic Systems 6(4): 245. http://dx.doi.org/10.4172/2332-0796.1000245en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/7476-
dc.description.abstractThis paper presents a comparative study of metaheuristics algorithms in evaluation of economic load dispatch problem in power generating station with MATLAB codes. In this paper, the formulation of the ELD problems using mathematical illustrations and MATLAB codes were presented. This consists of the ELD cost model, Model calculations, cost function and parse solution. It also presents the application of some metaheuristics algorithms (solution algorithms) such as ACSA and PSO in solving ELD problem with MATLAB codes. The ELD problem was modeling using Egbin thermal power station, Nigeria as our case study.en_US
dc.language.isoenen_US
dc.publisherJournal of Electrical & Electronic Systemsen_US
dc.relation.ispartofseriesVol. 6, No. 4;-
dc.subjectEconomic Load Dispatch (ELD)en_US
dc.subjectAnt Colony Search Algorithms (ACSA)en_US
dc.subjectParticle Swarm Optimization (PSO)en_US
dc.subjectMATLAB codesen_US
dc.titleA Comparative Study of Meta-heuristics Algorithms in evaluation of Economic Load Dispatch Problems in Power Generating Station with Matlab Codesen_US
dc.typeArticleen_US
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