Network Flow Algorithm Applied to California Aqueduct Simulation

Chung, Francis I.; Archer, Michael C.; DeVries, Johannes J.

doi:10.1061/(asce)0733-9496(1989)115:2(131)

Cited by 37 publications

(11 citation statements)

References 8 publications

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“…In the SIMLYD-!I model, developed by Evenson and Mosely [1970], the objective of the optimization submodel is to minimize system costs, subject to constraints on releases and storages. Sigvaldason [1976] and Chung et al [1989] assigned penalty coefficients to each are in the network to prioritize the allocation of water when ideal operating con-(titions could not be achieved; this generates policies that are similar but more flexible than those generated using the U.S. It is difficult to specify an objective function that correctly values future operations; it represents a tradeoff among risks of power, energy, and water shortages at different sites at different times.…”

Section: Literature Reviewmentioning

confidence: 99%

Heuristic operating policies for reservoir system simulation

Johnson¹,

Stedinger²,

Staschus³

1991

Water Resources Research

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Reservoir system simulation models are widely used to determine a system's firm water yield, average yield, or hydropower capacity. Most such models use heuristic guidelines to define the system's operating policy. Alternatively, optimization can be used within the simulation to identify a reasonable operating strategy. In this paper a theoretical justification is provided for several heuristic operating guidelines, including the widely used space rule. The guidelines are expressed as a mathematical objective function and combined with constraints on system operation to yield one‐period optimization submodels that can be used to determine releases within a simulation. Use of these one‐period optimization models improved the simulated operation of the Central Valley Project in California over the critical period of record and provided reasonable policies for other hydrologic scenarios.

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Section: Literature Reviewmentioning

confidence: 99%

Heuristic operating policies for reservoir system simulation

Johnson¹,

Stedinger²,

Staschus³

1991

Water Resources Research

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“…The previously discussed original model is strictly a conventional mass-balance type simulation model with no mathematical programming algorithm. Chung, Archer, and DeVries (1989) describe the recent revision of DWRSIM to incorporate the outof-kilter network flow programming algorithm. The versions of DWRSIM with and without the network flow programming algorithm are used for the same types of analyses.…”

Section: Reservoir System Analysis Modelsmentioning

confidence: 99%

Optimization of Multiple-Purpose Reservoir Systems Operations: A Review of Modeling and Analysis Approaches

Wurbs¹

1991

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“…This loss of generality allows the resources allocation problem to be visually and precisely displayed by the network structure, and gains in return higher computational efficiency and easier comprehension of the priority-based allocation mechanism. These characteristics have prompted model developers to incorporate NFP into many general models (Evenson and Moseley, 1970;Sigvaldason, 1976;Labadie et al, 1986;Martin, 1987;Kuczera and Diment, 1988;Brendecke, 1989;Chung et al, 1989;Andrews et al, 1992;Wurbs, 1993;Andreu et al, 1996;Yerrameddy and Wurbs, 1996;Fredericks et al, 1998;Ilich et al, 2000;Dai and Labadie, 2001;Chou and Wu, 2010). The NFP represents the physical aspect of a water resources system as a directed network G(N, L), where N is the set of n nodes and L is the set of m links.…”

Section: Introductionmentioning

confidence: 99%

Determination of cost coefficients of a priority-based water allocation linear programming model – a network flow approach

Chou

2014

Hydrol. Earth Syst. Sci.

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Abstract. This paper presents a method to establish the objective function of a network flow programming model for simulating river-reservoir system operations and associated water allocation, with an emphasis on situations when the links other than demand or storage have to be assigned with nonzero cost coefficients. The method preserves the priorities defined by rule curves of reservoir, operational preferences for conveying water, allocation of storage among multiple reservoirs, and transbasin water diversions. Path enumeration analysis transforms these water allocation rules into linear constraints that can be solved to determine link cost coefficients. An approach to prune the original system into a reduced network is proposed to establish the precise constraints of nonzero cost coefficients, which can then be efficiently solved. The cost coefficients for the water allocation in the Feitsui and Shihmen reservoirs' joint operating system of northern Taiwan was adequately assigned by the proposed method. This case study demonstrates how practitioners can correctly utilize network-flow-based models to allocate water supply throughout complex systems that are subject to strict operating rules.

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Network Flow Algorithm Applied to California Aqueduct Simulation

Cited by 37 publications

References 8 publications

Heuristic operating policies for reservoir system simulation

Heuristic operating policies for reservoir system simulation

Optimization of Multiple-Purpose Reservoir Systems Operations: A Review of Modeling and Analysis Approaches

Determination of cost coefficients of a priority-based water allocation linear programming model – a network flow approach

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