Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/75780
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dc.contributor.authorHomayounfar, Mehranen
dc.contributor.authorGanji, Armanen
dc.contributor.authorMartinez, C. J.en
dc.date.issued2011en
dc.identifier.citationWater Resources Management, 2011; 25(13):3427-3444en
dc.identifier.issn0920-4741en
dc.identifier.urihttp://hdl.handle.net/2440/75780-
dc.description.abstractIn this study, a continuous model of stochastic dynamic game for water allocation from a reservoir system was developed. The continuous random variable of inflow in the state transition function was replaced with a discrete approximant rather than using the mean of the random variable as is done in a continuous model of deterministic dynamic game. As a result, a new solution method was used to solve the stochastic model of game based on collocation method. The collocation method was introduced as an alternative to linear-quadratic (LQ) approximation methods to resolve a dynamic model of game. The collocation method is not limited to the first and second degree approximations, compared to LQ approximation, i.e. Ricatti equations. Furthermore, in spite of LQ related problems, consideration of the stochastic nature of game on the action variables in the collocation method would be possible. The proposed solution method was applied to the real case of reservoir operation, which typically requires considering the effect of uncertainty on decision variables. The results of the solution of the stochastic model of game are compared with the results of a deterministic solution of game, a classical stochastic dynamic programming model (e.g. Bayesian Stochastic Dynamic Programming model, BSDP), and a discrete stochastic dynamic game model (PSDNG). By comparing the results of alternative methods, it is shown that the proposed solution method of stochastic dynamic game is quite capable of providing appropriate reservoir operating policies.en
dc.description.statementofresponsibilityMehran Homayounfar & Arman Ganji & C. J. Martinezen
dc.language.isoenen
dc.publisherKluwer Academic Publishingen
dc.rights© Springer Science+Business Media B.V. 2011en
dc.subjectStochastic model; Reservoir operation; Game theory; Collocation methoden
dc.titleA novel solution for stochastic dynamic game of water allocation from a reservoir using collocation methoden
dc.typeJournal articleen
dc.contributor.schoolSchool of Civil, Environmental and Mining Engineeringen
dc.identifier.doi10.1007/s11269-011-9863-5en
Appears in Collections:Civil and Environmental Engineering publications

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