Developing optimal reservoir operation for multiple and multipurpose reservoirs using mathematical programming
type: Item
instance of: scholarly article
title: Developing optimal reservoir operation for multiple and multipurpose reservoirs using mathematical programming
zbMATH Open document ID: 1394.90436
DOI: 10.1155/2015/435752
author: Y. Aharonov
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Over the last decades, the increasing water demand has caused a number of problems, to which reservoir operation optimization has been suggested as one of the best solutions. In this research, a model based on mixed integer linear programming (MILP) technique is developed for the systematic operation of multireservoirs that are used to cater for the different needs of the Tehran-Karaj plain. These reservoirs include Laar, Latian, and Karaj dams. The system configuration was accomplished through the nodes and arcs of the network flow model approach and system component implementation including sources, consumption, junctions, and the physical and hydraulic relationship between them. The following were performed via comprehensive developed software: system configuration, objective function and constraints formulation, linearization, determining penalty values, and setting priorities for each node and arc in the system. A comparison between the MILP developed model's results against the periodic data shows 21.7\% less overflow, 11.6\% more outflow, and 15.9\% more reservoir storage, respectively. The outcome of the MILP-based modeling indicates superior performance to the historical period.
Mathematics Subject Classification ID: 90C11
zbMATH DE Number: 6926353
Wikidata QID: Q59118581
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/435752
OpenAlex ID: W2084257469
cites work: Short-term hydropower production planning by stochastic programming
cites work: A mixed 0-1 linear programming approach to the computation of all pure-strategy Nash equilibria of a finite \(n\)-person game in normal form
cites work: Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market
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description: scientific article; zbMATH DE number 6926353