Using Predictive Model of Mean Monthly Flows for Large Open Reservoirs Hydropower Control

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F14%3APU111756" target="_blank" >RIV/00216305:26110/14:PU111756 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S1877705814025508" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1877705814025508</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.proeng.2014.11.435" target="_blank" >10.1016/j.proeng.2014.11.435</a>

Result language
angličtina
Original language name
Using Predictive Model of Mean Monthly Flows for Large Open Reservoirs Hydropower Control
Original language description
Conventional hydropower reservoir operations are mostly based on rules or rule curves. The paper describes algorithm which has been created on idea of adaptive control theory. The adaptive control approach uses repeatedly generated medium-term water flow predictions on a several months ahead as inflows into the large open reservoirs. Values of control outflows are searched by evolution algorithm optimization methods. Principle of the predictive model of average monthly flows is introduced in this paper. The algorithm is applied to the operation hydropower control of selected reservoir.
Czech name
—
Czech description
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Project
<a href="/en/project/EE2.3.30.0039" target="_blank" >EE2.3.30.0039: Excellent young researcher at BUT</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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