A stochastic approach to the operative control of flood flows through a reservoir

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Title:A stochastic approach to the operative control of flood flows through a reservoir
Creators:
Jaroš, Lubomír; lubomir dot jaros at pod dot cz; Povodí Odry, State Enterprise, Varenská 3101/49, 701 26 Ostrava, Czech Republic.
Starý, Miloš; stary dot m at fce dot vutbr dot cz; Brno Technical University, Faculty of Civil Engineering, Institute of Landscape Water Management, Žižkova 17, 602 00, Brno, Czech Republic.
Březková, Lucie; Brno Technical University, Faculty of Civil Engineering, Institute of Landscape Water Management, Žižkova 17, 602 00, Brno, Czech Republic.
Journal or Publication Title:
Journal of Hydrology and Hydromechanics, 64, 1, pp. 91-96
Uncontrolled Keywords:operative control of reservoir, artificial intelligence, fuzzy inference system, neural networks, stochastic forecast, stochastic control of reservoir, principle of adaptation

Abstract

The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations. Management is based on the stochastically specified forecast of water inflow into the reservoir. From a mathematical perspective, the solved task presents the control of a dynamic system whose predicted hydrological input (water inflow) is characterised by significant uncertainty. The algorithm uses a combination of simulation model data, in which the position of the bottom outlets is sought via nonlinear optimisation methods, and artificial intelligence methods (adaptation and fuzzy model). The task is written in the technical computing language MATLAB using the Fuzzy Logic Toolbox.

Official URL: http://147.213.145.2/vc/vc1.asp

Title:A stochastic approach to the operative control of flood flows through a reservoir
Translated title:A stochastic approach to the operative control of flood flows through a reservoir
Creators:
Jaroš, Lubomír; lubomir dot jaros at pod dot cz; Povodí Odry, State Enterprise, Varenská 3101/49, 701 26 Ostrava, Czech Republic.
Starý, Miloš; stary dot m at fce dot vutbr dot cz; Brno Technical University, Faculty of Civil Engineering, Institute of Landscape Water Management, Žižkova 17, 602 00, Brno, Czech Republic.
Březková, Lucie; Brno Technical University, Faculty of Civil Engineering, Institute of Landscape Water Management, Žižkova 17, 602 00, Brno, Czech Republic.
Uncontrolled Keywords:operative control of reservoir, artificial intelligence, fuzzy inference system, neural networks, stochastic forecast, stochastic control of reservoir, principle of adaptation
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Mathematics, Physics and Earth Sciences > Institute of Hydrodynamics > Journal of Hydrology and Hydromechanics
Journal or Publication Title:Journal of Hydrology and Hydromechanics
Volume:64
Number:1
Page Range:pp. 91-96
ISSN:0042-790X
Publisher:Institute of Hydrology of the Slovak Academy of Sciences and the Institute of Hydrodynamics of the Academy of Sciences of the Czech Republic
Related URLs:
URLURL Type
http://avi.lib.cas.cz/node/55Publisher
ID Code:8636
Item Type:Article
Deposited On:16 Feb 2016 11:48
Last Modified:16 Feb 2016 10:48

Citation

Jaroš, Lubomír; Starý, Miloš; Březková, Lucie (2016) A stochastic approach to the operative control of flood flows through a reservoir. Journal of Hydrology and Hydromechanics, 64 (1). pp. 91-96. ISSN 0042-790X

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