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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/61962
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dc.titleConstrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm
dc.contributor.authorXu, J.X.
dc.contributor.authorChang, C.S.
dc.contributor.authorWang, X.W.
dc.date.accessioned2014-06-17T06:45:55Z
dc.date.available2014-06-17T06:45:55Z
dc.date.issued1996
dc.identifier.citationXu, J.X.,Chang, C.S.,Wang, X.W. (1996). Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm. IEE Proceedings: Generation, Transmission and Distribution 143 (5) : 435-446. ScholarBank@NUS Repository.
dc.identifier.issn13502360
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/61962
dc.description.abstractA genetic-based algorithm is proposed to solve the multiobjective global optimisation problem of longitudinal interconnected power system, which incorporates various constraints during the optimisation of dispatch solution with two objectives in mind: economic and environmental. Its effectiveness is verified through a three-area test system with multiple fuels and multiple pollutants. Consequently, the results of the sample system are analysed to demonstrate the internal relationships among various constraints and objectives. © IEE, 1996.
dc.sourceScopus
dc.subjectConstrained multiobjective global optimisation
dc.subjectGenetic algorithm
dc.subjectLongitudinal interconnected power system
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIEE Proceedings: Generation, Transmission and Distribution
dc.description.volume143
dc.description.issue5
dc.description.page435-446
dc.description.codenIGTDE
dc.identifier.isiutNOT_IN_WOS
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