Publication detail

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

KOZEL, T. STARÝ, M.

Original Title

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

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

Reservoir storage function; fuzzy logic; inflow forecast

Authors

KOZEL, T.; STARÝ, M.

Released

27. 7. 2021

Publisher

MAIK NAUKA/INTERPERIODICA/SPRINGER

Location

NEW YORK

ISBN

0097-8078

Periodical

WATER RESOUR+

Year of study

48

Number

4

State

Russian Federation

Pages from

532

Pages to

543

Pages count

12

URL

http://dx.doi.org/10.1134/s0097807821040084

BibTex

@article{BUT172436,
  author="Tomáš {Kozel} and Miloš {Starý}",
  title="Adaptive Management of the Storage Function for a Large Reservoir Using Learned Fuzzy Models",
  journal="WATER RESOUR+",
  year="2021",
  volume="48",
  number="4",
  pages="532--543",
  doi="10.1134/S0097807821040084",
  issn="0097-8078",
  url="http://dx.doi.org/10.1134/s0097807821040084"
}