Please use this identifier to cite or link to this item: http://dspace.spu.ac.th/handle/123456789/818
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dc.contributor.authorKeerati Chayakulkheeree-
dc.date.accessioned2551-02-22T07:22:25Z-
dc.date.available2551-02-22T07:22:25Z-
dc.date.issued2007-10-25-
dc.identifier.urihttp://dspace.spu.ac.th/handle/123456789/818-
dc.description.abstractIn this paper, the fuzzy set theory is applied to model the soft constraint limits. The fuzzy constrained optimal dispatch is formulated as a fuzzy optimization problem and converted into a crisp optimization problem. An efficient successive linear programming method is then modified to solve the new problem. Numerical test results on IEEE 30-bus system show that the fuzzy constrained method could give a good trade-off between reducing generation cost and satisfying constraints, and produce more realistic generation schedules when a feasible solution cannot be obtained by using the crisp OPF.en_US
dc.description.sponsorshipSripatum Univrsityen_US
dc.language.isoen_USen_US
dc.publisherThe 30th Electrical Engineering Conferenceen_US
dc.relation.ispartofseriesPW035en_US
dc.subjectOptimal Power Dispatchen_US
dc.subjectFuzzy Linear Programmingen_US
dc.titleAn Investigation Study on Fuzzy Line Flow Limit Constraints in Competitive Electricity Marketsen_US
dc.typeArticleen_US
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