DocumentCode
1679880
Title
Accuracy assessment of hydro power plants models
Author
Stokelj, T. ; Golob, R. ; Gubina, F.
Author_Institution
Soske Elektrarne Nova Gorica, Slovenia
fYear
1999
Firstpage
47
Abstract
In the paper, the issue of cascade hydro system scheduling is addressed. Various techniques for hydro power plants modeling are discussed and a detailed comparison of various models is given. First, a detailed simulation model of a generic hydro power plant is presented. Although computationally very demanding, it produces perfectly accurate results. Therefore it can be used as a reference. To describe the operation of a hydro power plant, relation between the power generation and water discharge has to be known. The traditional approach to finding this relation is to utilize a polynomial function. To obtain better performance, new models based on neural networks are developed. The developed models are tested for a cascade hydro system on the Soca river and some results are reported.
Keywords
feedforward neural nets; hydroelectric power stations; multilayer perceptrons; power engineering computing; power generation scheduling; Soca river; cascade hydro system scheduling; feedforward neural nets; generic hydro power plant; hydro power plants models; neural networks; polynomial function; power generation; two layer perceptrons; water discharge; Computational modeling; Hydroelectric power generation; Hydroelectric-thermal power generation; Mathematical model; Neural networks; Polynomials; Power generation; Power generation dispatch; Power system modeling; Rivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location
Budapest, Hungary
Print_ISBN
0-7803-5836-8
Type
conf
DOI
10.1109/PTC.1999.826478
Filename
826478
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