Stochastic modelling of pump-storage hydroelectric power plants, Part I
Lajos Józsa
orcid.org/0000-0002-9895-1503
; Elektrotehnički fakultet, Sveučilište J. J. Strossmayera u Osijeku, Kralja Trpimira 2b, 31000 Osijek, Croatia
Damir Šljivac
; Elektrotehnički fakultet, Sveučilište J. J. Strossmayera u Osijeku, Kralja Trpimira 2b, 31000 Osijek, Croatia
Danijel Topić
orcid.org/0000-0003-2100-242X
; Elektrotehnički fakultet, Sveučilište J. J. Strossmayera u Osijeku, Kralja Trpimira 2b, 31000 Osijek, Croatia
APA 6th Edition Józsa, L., Šljivac, D. i Topić, D. (2010). Stochastic modelling of pump-storage hydroelectric power plants, Part I. Tehnički vjesnik, 17 (2), 153-162. Preuzeto s https://hrcak.srce.hr/55433
MLA 8th Edition Józsa, Lajos, et al. "Stochastic modelling of pump-storage hydroelectric power plants, Part I." Tehnički vjesnik, vol. 17, br. 2, 2010, str. 153-162. https://hrcak.srce.hr/55433. Citirano 07.03.2021.
Chicago 17th Edition Józsa, Lajos, Damir Šljivac i Danijel Topić. "Stochastic modelling of pump-storage hydroelectric power plants, Part I." Tehnički vjesnik 17, br. 2 (2010): 153-162. https://hrcak.srce.hr/55433
Harvard Józsa, L., Šljivac, D., i Topić, D. (2010). 'Stochastic modelling of pump-storage hydroelectric power plants, Part I', Tehnički vjesnik, 17(2), str. 153-162. Preuzeto s: https://hrcak.srce.hr/55433 (Datum pristupa: 07.03.2021.)
Vancouver Józsa L, Šljivac D, Topić D. Stochastic modelling of pump-storage hydroelectric power plants, Part I. Tehnički vjesnik [Internet]. 2010 [pristupljeno 07.03.2021.];17(2):153-162. Dostupno na: https://hrcak.srce.hr/55433
IEEE L. Józsa, D. Šljivac i D. Topić, "Stochastic modelling of pump-storage hydroelectric power plants, Part I", Tehnički vjesnik, vol.17, br. 2, str. 153-162, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/55433. [Citirano: 07.03.2021.]
APA 6th Edition Józsa, L., Šljivac, D. i Topić, D. (2010). Stohastički model crpno-akumulacijskih hidroelektrana, I. dio. Tehnički vjesnik, 17 (2), 153-162. Preuzeto s https://hrcak.srce.hr/55433
MLA 8th Edition Józsa, Lajos, et al. "Stohastički model crpno-akumulacijskih hidroelektrana, I. dio." Tehnički vjesnik, vol. 17, br. 2, 2010, str. 153-162. https://hrcak.srce.hr/55433. Citirano 07.03.2021.
Chicago 17th Edition Józsa, Lajos, Damir Šljivac i Danijel Topić. "Stohastički model crpno-akumulacijskih hidroelektrana, I. dio." Tehnički vjesnik 17, br. 2 (2010): 153-162. https://hrcak.srce.hr/55433
Harvard Józsa, L., Šljivac, D., i Topić, D. (2010). 'Stohastički model crpno-akumulacijskih hidroelektrana, I. dio', Tehnički vjesnik, 17(2), str. 153-162. Preuzeto s: https://hrcak.srce.hr/55433 (Datum pristupa: 07.03.2021.)
Vancouver Józsa L, Šljivac D, Topić D. Stohastički model crpno-akumulacijskih hidroelektrana, I. dio. Tehnički vjesnik [Internet]. 2010 [pristupljeno 07.03.2021.];17(2):153-162. Dostupno na: https://hrcak.srce.hr/55433
IEEE L. Józsa, D. Šljivac i D. Topić, "Stohastički model crpno-akumulacijskih hidroelektrana, I. dio", Tehnički vjesnik, vol.17, br. 2, str. 153-162, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/55433. [Citirano: 07.03.2021.]
Sažetak Two parts of this paper represent a contribution to the implementation of a pump-storage hydroelectric power plant stochastic model into a power plant system reliability model. After analysis of operation modes of such type of power plants, Part I gives an overview referring to the determination of the probability distribution of variable production when natural hydraulic inflow into the upper storage is exclusively used, the probability distribution of variable production from a pumped-storage drive, as well as the probability distribution of necessary energy of the plant with natural hydraulic inflow. The inflow is thereby treated as a random variable, and stochastic modeling relies on the well-known method of constant and variable energy production. The developed model is suitable for development of an additional determination criterion when it comes to making studies related to planning strategy of production capacities in the power system. The stochastic model presented in the paper is illustrated by a simple numerical example.