DocumentCode :
1598326
Title :
Small hydro power plants energy availability modeling for generation reliability evaluation
Author :
Borges, Carmen ; Pinto, Roberto
Author_Institution :
Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
fYear :
2009
Firstpage :
1
Lastpage :
1
Abstract :
This paper presents a model for evaluating small hydro power plants (SHPP) generation availability that can be applied to generation systems reliability and to generation planning studies. The model considers the uncertainties of rivers inflows and generation units operation. The river inflow is modeled as a stationary stochastic process by a multiple states Markov chain and the generator unit by a two states Markov model. The large number of different inflow values is reduced by the application of the statistical clustering techniques K-means in two different approaches: inflow clustering and power clustering. The steady state probabilities of each power generation value of the SHPP are calculated by the solution of the stochastic system. The expected value of the annual power generation of the SHPP, the duration curve, and several reliability indices are then calculated in a more accurate way than conventional approaches, since the model considers both the river inflow variation and the generation unit operation. Results obtained with actual Brazilian rivers inflows used for SHPP generation are reported in the paper and demonstrate the accuracy and applicability of the presented method for reliability evaluation.
Keywords :
Markov processes; hydroelectric generators; hydroelectric power stations; power generation planning; power generation reliability; rivers; annual power generation; energy availability modeling; generation planning; generation reliability evaluation; generation unit operation; inflow clustering; multiple state Markov chain; power clustering; rivers inflows; small hydro power plant; statistical clustering technique; Availability; Power generation; Power system modeling; Power system planning; Power system reliability; Probability; Rivers; Steady-state; Stochastic processes; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5276035
Filename :
5276035
Link To Document :
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