WIT Press

Optimize Energy Production Of Hydropower Plants System

Price

Free (open access)

Paper DOI

10.2495/AI970151

Volume

19

Pages

16

Published

1997

Size

158 kb

Author(s)

K. Nachazel & M. Toman

Abstract

The neural networks and their application to optimize energy production of hydropower plants system K Nachazel, M Toman Department of Hydrotechnology, Czech Technical University, Thakurova 7, 166 29 Prague 6, Czech Republic EMail: tomanm@fsv.cvut.cz Abstract This study presents results of the artificial neural network (ANN) application aimed at the optimization of utilizating the hydropower plants system on the Moravice River for energy production. The objective of this research included a proposal of operational rules of reservoir management in real time in order to obtain maximum hydropower energy. The research results indicate that the proposed technique based upon ANN employment and other methods of artificial intelligence can be more effective and rapid than other methods. 1 Introduction The water resources system consisting of three reservoirs constructed on the Moravice River supplies the Ostrava agglomeration with drinking water. Due to the economic transition to a market-oriented e

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