Pregled bibliografske jedinice broj: 705975
Characteristics of basin inflows—a statistical analysis for long-term/mid-term hydrothermal scheduling
Characteristics of basin inflows—a statistical analysis for long-term/mid-term hydrothermal scheduling // Digital proceedings of SDEWES 2013 / Marko Ban, ... (ur.).
Dubrovnik: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2013. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Characteristics of basin inflows—a statistical analysis for long-term/mid-term hydrothermal scheduling
Autori
Sutlović, Elis ; Čujić Čoko, Snježana ; Medić Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Digital proceedings of SDEWES 2013
/ Marko Ban, ... - Dubrovnik : Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2013
Skup
8th Conference on Sustainable Development of Energy, Water and Environment Systems
Mjesto i datum
Dubrovnik, Hrvatska, 22.09.2013. - 27.09.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Power system planning; Long-term/mid-term hydrothermal scheduling; Inflow models; Markov chain; Statistical analysis; Hydrology
Sažetak
The presented paper focuses on the characteristics of reservoir inflows and the appropriate inflow model for long-term/mid-term hydrothermal scheduling. The goal was to find the type of distribution that best fits the observed series of monthly and weekly average inflows in most cases for a model which considers the inflows as independent random variables without time correlation. Also, the objective was to explore the correlation between the inflows during time periods (for weekly and monthly intervals respectively), and to investigate whether the more complex model of reservoir inflow as a dependent random variable is advisable for optimal long-term/mid-term hydrothermal scheduling. Differences in the characteristics of monthly and weekly inflows, which have been noticed during the analysis, are discussed. Numerical results are presented.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split