2015 IEEE Power &Amp; Energy Society General Meeting 2015
DOI: 10.1109/pesgm.2015.7285658
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Short-term hydrothermal dispatch with river-level and routing constraints

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Cited by 5 publications
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“…Consequently, the decision vector at period t includes not only the generation of the second-stage variables at t, but also of the first-stage variables at t + 1. This is done by means of the decision variable g o t+1|t , which stands for the first-stage generation at t + 1 given the conditions at the end of period t, and guaranteed by expression (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19). The adaptation results in the following:…”
Section: Augmented-state Decomposable Decision-hazard Approachmentioning
confidence: 99%
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“…Consequently, the decision vector at period t includes not only the generation of the second-stage variables at t, but also of the first-stage variables at t + 1. This is done by means of the decision variable g o t+1|t , which stands for the first-stage generation at t + 1 given the conditions at the end of period t, and guaranteed by expression (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19). The adaptation results in the following:…”
Section: Augmented-state Decomposable Decision-hazard Approachmentioning
confidence: 99%
“…From equation (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23), similarly to the hazard-decision problem, within the augmented-state approach, for a given initial state (v t−1 , g o t|t−1 ), defined by the initial volume in the hydro reservoirs and the dispatch for the first-stage generators set J, it is possible to solve each subproblem determined by the water inflow scenarios w t,ω individually and then obtain the expected value. Therefore, the proposed methodology results in a decision-hazard structure problem that may be solved through a hazard-solution methodology.…”
Section: Augmented-state Decomposable Decision-hazard Approachmentioning
confidence: 99%
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