Publication detail

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

MENŠÍK, P. STARÝ, M. MARTON, D.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

MENŠÍK, P.; STARÝ, M.; MARTON, D.

RIV year

2014

Released

17. 12. 2014

Publisher

Elsevier Science Publishers

Location

Amsterdam

ISBN

1877-7058

Periodical

Procedia Engineering

Year of study

89

Number

12

State

Kingdom of the Netherlands

Pages from

1486

Pages to

1492

Pages count

7

URL

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

Full text in the Digital Library

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"
}