Abstract
Reservoir systems for flow regulation generally involve highly dynamic decisions. Of particular interest, the optimal system design may be defined as that combination of system units/components, inputs, outputs, and operating policies that ‘extremizes’ (i.e., maximizes or minimizes, as appropriate) the objective function — thus fulfilling the overall objective better than any other combination. The problem of finding the optimal capacities for the components in multireservoir systems, especially in situations where reservoirs are acting both in parallel and in series, becomes computationally complex due to the rather large number of feasible configurations that need to be analyzed. Typically, mathematical programming — involving mathematical optimization techniques — guarantees an optimal solution to this type of problem. However, because the problem formulation only approximates the real problem, the optimal solution obtained by mathematical optimization techniques usually is only an approximation of the optimal strategy for the system. Nonetheless, a good solution — including an analysis of the sensitivity of the solution to changing conditions — may be derived less expensively in this manner.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Nagy, I.V., Asante-Duah, K., Zsuffa, I. (2002). Determination of the Optimal Reservoir Storage Capacity and Operational Parameters for a River Dam. In: Hydrological Dimensioning and Operation of Reservoirs. Water Science and Technology Library, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9894-1_8
Download citation
DOI: https://doi.org/10.1007/978-94-015-9894-1_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5942-0
Online ISBN: 978-94-015-9894-1
eBook Packages: Springer Book Archive