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
Link To Document :
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