Premium
A two‐stage optimization model for design of a multipurpose reservoir
Author(s) -
Mobasheri Fereidoun,
Harboe Ricardo C.
Publication year - 1970
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr006i001p00022
Subject(s) - mathematical optimization , grid , hydropower , computer science , stage (stratigraphy) , function (biology) , optimal design , production (economics) , sampling (signal processing) , engineering , mathematics , paleontology , geometry , electrical engineering , macroeconomics , evolutionary biology , machine learning , economics , biology , filter (signal processing) , computer vision
A mathematical model that can be useful in determining the optimum design and operation of a single multipurpose reservoir is presented. The development purposes include firm water supply, firm on‐peak and dump hydropower production, flood control, and low flow augmentation. The model is based upon a two‐stage optimization technique. It takes into account the fact that economic returns from a project are a function of both design and operational rules of the project. A dynamic programing algorithm which has a physical recursive equation computes the optimum operation policy of a feasible design. An iterative uniform grid sampling algorithm is then used to compare designs for which optimum operations are already determined and to select the best design. The model is applied to a hypothetical water resources project for illustrative purposes. The limitations of this mathematical model and some future research that may eliminate these limitations are discussed.