Using Predictive Model for Strategic Control of Multi-reservoir System Storage Capacity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F15%3APU114507" target="_blank" >RIV/00216305:26110/15:PU114507 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sgem.org/sgemlib/spip.php?article5999&lang=en" target="_blank" >http://www.sgem.org/sgemlib/spip.php?article5999&lang=en</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/SGEM2015/B31/S12.094" target="_blank" >10.5593/SGEM2015/B31/S12.094</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using Predictive Model for Strategic Control of Multi-reservoir System Storage Capacity

Popis výsledku v původním jazyce

Classic strategic control of reservoir system storage capacity is based mainly on the rules and rules curves, which are created by generalization of historical data of water inflows to the reservoirs. Flow series are changing in the time due to expectedclimate change. It is necessary to looking for intelligent reservoir control management, which will allow reacting on these hydrological changes and contributing to the efficient use of accumulated water for water supply and hydropower purposes. The paper will describe the algorithm based on adaptive-optimization of multi-reservoir control, which the medium-term water flow predictions into the reservoirs for several months ahead repeatedly use. The values of control outflows are searching by optimization based on evolutionary algorithms optimization technique. The objective function was descripted as the sum of squares deviations between required and actual controlled water outflow from reservoirs where objective function is minimized.

Název v anglickém jazyce

Using Predictive Model for Strategic Control of Multi-reservoir System Storage Capacity

Popis výsledku anglicky

Classic strategic control of reservoir system storage capacity is based mainly on the rules and rules curves, which are created by generalization of historical data of water inflows to the reservoirs. Flow series are changing in the time due to expectedclimate change. It is necessary to looking for intelligent reservoir control management, which will allow reacting on these hydrological changes and contributing to the efficient use of accumulated water for water supply and hydropower purposes. The paper will describe the algorithm based on adaptive-optimization of multi-reservoir control, which the medium-term water flow predictions into the reservoirs for several months ahead repeatedly use. The values of control outflows are searching by optimization based on evolutionary algorithms optimization technique. The objective function was descripted as the sum of squares deviations between required and actual controlled water outflow from reservoirs where objective function is minimized.

Druh

D - Stať ve sborníku

CEP obor

DA - Hydrologie a limnologie

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.30.0039" target="_blank" >EE2.3.30.0039: Excelentní mladí vědci na VUT v Brně</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

SGEM Conference Proceedings

ISBN

978-619-7105-36-0

ISSN

1314-2704

e-ISSN

—

Počet stran výsledku

8

Strana od-do

729-736

Název nakladatele

STEF92 Technology Ltd.

Místo vydání

51 Alexander Malinov Blvd., 1712, Sofia, Bulgari

Místo konání akce

Albena

Datum konání akce

16. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000371663400094