Detail publikace

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

MENŠÍK, P. STARÝ, M. MARTON, D.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Adaptive; evolution algorithms; hydropower function; large open reservoir; operative control; optimization; predictive model

Autoři

MENŠÍK, P.; STARÝ, M.; MARTON, D.

Rok RIV

2014

Vydáno

17. 12. 2014

Nakladatel

Elsevier Science Publishers

Místo

Amsterdam

ISSN

1877-7058

Periodikum

Procedia Engineering

Ročník

89

Číslo

12

Stát

Nizozemsko

Strany od

1486

Strany do

1492

Strany počet

7

URL

http://www.sciencedirect.com/science/article/pii/S1877705814025508

Plný text v Digitální knihovně

http://hdl.handle.net/11012/69345

BibTex

@inproceedings{BUT111274,
  author="Pavel {Menšík} and Miloš {Starý} and Daniel {Marton}",
  title="Using Predictive Model of Mean Monthly Flows for Large Open Reservoirs Hydropower Control",
  booktitle="Procedia Engineering",
  year="2014",
  journal="Procedia Engineering",
  volume="89",
  number="12",
  pages="1486--1492",
  publisher="Elsevier Science Publishers",
  address="Amsterdam",
  doi="10.1016/j.proeng.2014.11.435",
  issn="1877-7058",
  url="http://www.sciencedirect.com/science/article/pii/S1877705814025508"
}