Adaptive Management of the Storage Function for a Large Reservoir Using Learned Fuzzy Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU141542" target="_blank" >RIV/00216305:26110/21:PU141542 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1134/s0097807821040084" target="_blank" >http://dx.doi.org/10.1134/s0097807821040084</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1134/S0097807821040084" target="_blank" >10.1134/S0097807821040084</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Management of the Storage Function for a Large Reservoir Using Learned Fuzzy Models

Popis výsledku v původním jazyce

A single study investigates the possibility of using adaptive control of the reservoir Vranov Reservoir situated on the Dyje River. The control algorithm uses a fuzzy model that approximates the I/O relationships contained in the behaviour matrix of the target reservoir, constructed using the differential evolution optimisation method. Recurring predictions of water inflows into the reservoir are constructed using a fuzzy model, which is based on the idea of similarity of the course of a real series of average monthly flows during the year. After calibration of the control and predictive models, the whole control is tested for the period 2004-2018. The results obtained by the discussed models are compared with the results obtained by dispatching graphs. The results of adaptive control show that the method is very suitable for driving during long low-water periods. In periods with plentiful water, the results barely differ.

Název v anglickém jazyce

Adaptive Management of the Storage Function for a Large Reservoir Using Learned Fuzzy Models

Popis výsledku anglicky

A single study investigates the possibility of using adaptive control of the reservoir Vranov Reservoir situated on the Dyje River. The control algorithm uses a fuzzy model that approximates the I/O relationships contained in the behaviour matrix of the target reservoir, constructed using the differential evolution optimisation method. Recurring predictions of water inflows into the reservoir are constructed using a fuzzy model, which is based on the idea of similarity of the course of a real series of average monthly flows during the year. After calibration of the control and predictive models, the whole control is tested for the period 2004-2018. The results obtained by the discussed models are compared with the results obtained by dispatching graphs. The results of adaptive control show that the method is very suitable for driving during long low-water periods. In periods with plentiful water, the results barely differ.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

WATER RESOUR+

ISSN

0097-8078

e-ISSN

1608-344X

Svazek periodika

48

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

RU - Ruská federace

Počet stran výsledku

12

Strana od-do

532-543

Kód UT WoS článku

000678071900007

EID výsledku v databázi Scopus

2-s2.0-85111918676