Real-time Operation of Reservoir Systems, Information Uncertainty, System Representation and Computational Intractability PDF Download
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Languages : en
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Languages : en
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Author: Mark H. Houck
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Category : Real-time data processing
Languages : en
Pages : 62
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Author: Bill Scott Eichert
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Category : Computer programs
Languages : en
Pages : 20
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A comprehensive series of interconnected computer models are described which assist water control managers in operating reservoir systems during real-time flood emergencies. The need for and the desirable features of a transportable comprehensive software system are presented along with a description of the various computer models developed for this purpose by the Hydrologic Engineering Center of the U.S. Army Corps of Engineers. The functions, capabilities and inerties of the Data Management, Operation, Forecast and Display computer modules used in this software system are described and an example application of this system on one of the Corps' reservoir systems is presented. (Author).
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Languages : en
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Modeling real-time reservoir operations and developing optimal rules are formidable tasks considering a number of issues that need to be addressed within optimization and simulation models. The issues range from uncertain system inputs to implementation of operating rules in real-time. This dissertation addresses some of these issues that are relevant at different stages of real-time reservoir operation process. These issues are: (i) information uncertainty; (ii) system representation; and (iii) computational intractability. Realtime operation models are developed in the present research for single and multiple reservoir systems while addressing these issues in that order. Uncertainty generally associated with system variables in a variety of forms is a main hurdle in developing a proaches for optimizing reservoir operations. Explicit and implicit stochastic approaches based on traditional probability theory concepts cannot always handle all the uncertain elements of reservoir operation. Approaches to handle imprecise information are required as much as methodologies to address the issue of lack of information. The former issue described as information uncertainty in this thesis is addressed using fuzzy set theory. Mathematical programming models are developed under fuzzy environment to handle imprecise and uncertain components of reservoir operation problem dominated by an economic objective. The concept of 'compromise operating polices' is proposed and its utility is proved. Representation of physical system in mathematical programming formulations affects the extent to which the physics of the problem is captured and nature of the solutions that can be obtained. Tradeoffs between exhaustive representation and optimal solutions can be identified. Operation of a multiple reservoir system is considered to develop formulations of varying degree of system representation. A Mixed Integer Non-Linear Programming (MINLP) Model with binary variables is developed to a speci.
Author: Juan José Victoria
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Category : Water resources development
Languages : en
Pages : 266
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Author: John Robeert Eckhardt
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Category : Computer programs
Languages : en
Pages : 216
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Author: Bill Eichert
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Category : Flood dams and reservoirs
Languages : en
Pages : 52
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Author: Emre K. Can
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Category : Real-time data processing
Languages : en
Pages : 137
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Author: William John Trott
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Category : Reservoirs
Languages : en
Pages : 304
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Author: William W-G. Yeh
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Category : Mathematical optimization
Languages : en
Pages : 162
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