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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/23995
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DC FieldValueLanguage
dc.contributor.advisorSwartz, Christopher L. E.-
dc.contributor.authorTikk, Alexander-
dc.date.accessioned2019-03-12T18:53:20Z-
dc.date.available2019-03-12T18:53:20Z-
dc.date.issued2019-
dc.identifier.urihttp://hdl.handle.net/11375/23995-
dc.description.abstractThis thesis examines the optimal scheduling of a hydroelectric power plant with cascaded reservoirs each with multiple generating units under uncertainty after testing three linearization methods. These linearization methods are Successive Linear Programming, Piecewise Linear Approximations, and a Hybrid of the two together. There are two goals of this work. The first goal of this work aims to replace the nonconvex mixed-integer nonlinear program (MINLP) with a computationally efficient linearized mixed-integer linear program (MILP) that will be capable of finding a high quality solution, preferably the global optimum. The second goal is to implement a stochastic approach on the linearized method in a pseudo-rolling horizon method which keeps the ending time step fixed. Overall, the Hybrid method proved to be a viable replacement and performs well in the pseudo-rolling horizon tests.en_US
dc.language.isoenen_US
dc.subjectHydropower/Hydroelectricen_US
dc.subjectUncertaintyen_US
dc.subjectLinearizationen_US
dc.subjectSchedulingen_US
dc.subjectOptimizationen_US
dc.subjectMixed-Integer Nonlinear Programming Problem (MINLP)en_US
dc.subjectMixed-Integer Linear Programming Problem (MILP)en_US
dc.subjectSuccessive Linear Programming (SLP)en_US
dc.subjectPiecewise Linear Approximations (PLA)en_US
dc.subjectStochasticen_US
dc.subjectNervousnessen_US
dc.subjectRolling Horizonen_US
dc.subjectCascaded Reservoirsen_US
dc.subjectHybriden_US
dc.subjectnonconvexen_US
dc.subjectStart-up costsen_US
dc.subjectGeneratorsen_US
dc.titleLinearization-Based Strategies for Optimal Scheduling of a Hydroelectric Power Plant Under Uncertaintyen_US
dc.title.alternativeLinearization-Based Scheduling of Hydropower Systemsen_US
dc.typeThesisen_US
dc.contributor.departmentChemical Engineeringen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Applied Science (MASc)en_US
Appears in Collections:Open Access Dissertations and Theses

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