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GA-based optimal sizing of PV under pay as bid and uniform power market pricing considering uncertainty of solar radiation

Mohammad Mohammadi ; Department of Electrical Engineering, Islamic Azad University, Borujerd Branch Borujerd, Iran

Puni tekst: engleski, pdf (924 KB) str. 511-518 preuzimanja: 591* citiraj
APA 6th Edition
Mohammadi, M. (2013). GA-based optimal sizing of PV under pay as bid and uniform power market pricing considering uncertainty of solar radiation. Tehnički vjesnik, 20 (3), 511-518. Preuzeto s https://hrcak.srce.hr/104079
MLA 8th Edition
Mohammadi, Mohammad. "GA-based optimal sizing of PV under pay as bid and uniform power market pricing considering uncertainty of solar radiation." Tehnički vjesnik, vol. 20, br. 3, 2013, str. 511-518. https://hrcak.srce.hr/104079. Citirano 18.04.2021.
Chicago 17th Edition
Mohammadi, Mohammad. "GA-based optimal sizing of PV under pay as bid and uniform power market pricing considering uncertainty of solar radiation." Tehnički vjesnik 20, br. 3 (2013): 511-518. https://hrcak.srce.hr/104079
Harvard
Mohammadi, M. (2013). 'GA-based optimal sizing of PV under pay as bid and uniform power market pricing considering uncertainty of solar radiation', Tehnički vjesnik, 20(3), str. 511-518. Preuzeto s: https://hrcak.srce.hr/104079 (Datum pristupa: 18.04.2021.)
Vancouver
Mohammadi M. GA-based optimal sizing of PV under pay as bid and uniform power market pricing considering uncertainty of solar radiation. Tehnički vjesnik [Internet]. 2013 [pristupljeno 18.04.2021.];20(3):511-518. Dostupno na: https://hrcak.srce.hr/104079
IEEE
M. Mohammadi, "GA-based optimal sizing of PV under pay as bid and uniform power market pricing considering uncertainty of solar radiation", Tehnički vjesnik, vol.20, br. 3, str. 511-518, 2013. [Online]. Dostupno na: https://hrcak.srce.hr/104079. [Citirano: 18.04.2021.]
Puni tekst: hrvatski, pdf (924 KB) str. 511-518 preuzimanja: 222* citiraj
APA 6th Edition
Mohammadi, M. (2013). Optimalno dimenzioniranje fotonapona uz ponudom dogovorenu cijenu i određivanje jednake tržišne cijene električne energije zasnovano na genetičkom algoritmu uzimajući u obzir nesigurnost sunčevog zračenja. Tehnički vjesnik, 20 (3), 511-518. Preuzeto s https://hrcak.srce.hr/104079
MLA 8th Edition
Mohammadi, Mohammad. "Optimalno dimenzioniranje fotonapona uz ponudom dogovorenu cijenu i određivanje jednake tržišne cijene električne energije zasnovano na genetičkom algoritmu uzimajući u obzir nesigurnost sunčevog zračenja." Tehnički vjesnik, vol. 20, br. 3, 2013, str. 511-518. https://hrcak.srce.hr/104079. Citirano 18.04.2021.
Chicago 17th Edition
Mohammadi, Mohammad. "Optimalno dimenzioniranje fotonapona uz ponudom dogovorenu cijenu i određivanje jednake tržišne cijene električne energije zasnovano na genetičkom algoritmu uzimajući u obzir nesigurnost sunčevog zračenja." Tehnički vjesnik 20, br. 3 (2013): 511-518. https://hrcak.srce.hr/104079
Harvard
Mohammadi, M. (2013). 'Optimalno dimenzioniranje fotonapona uz ponudom dogovorenu cijenu i određivanje jednake tržišne cijene električne energije zasnovano na genetičkom algoritmu uzimajući u obzir nesigurnost sunčevog zračenja', Tehnički vjesnik, 20(3), str. 511-518. Preuzeto s: https://hrcak.srce.hr/104079 (Datum pristupa: 18.04.2021.)
Vancouver
Mohammadi M. Optimalno dimenzioniranje fotonapona uz ponudom dogovorenu cijenu i određivanje jednake tržišne cijene električne energije zasnovano na genetičkom algoritmu uzimajući u obzir nesigurnost sunčevog zračenja. Tehnički vjesnik [Internet]. 2013 [pristupljeno 18.04.2021.];20(3):511-518. Dostupno na: https://hrcak.srce.hr/104079
IEEE
M. Mohammadi, "Optimalno dimenzioniranje fotonapona uz ponudom dogovorenu cijenu i određivanje jednake tržišne cijene električne energije zasnovano na genetičkom algoritmu uzimajući u obzir nesigurnost sunčevog zračenja", Tehnički vjesnik, vol.20, br. 3, str. 511-518, 2013. [Online]. Dostupno na: https://hrcak.srce.hr/104079. [Citirano: 18.04.2021.]

Sažetak
This paper presents a multi-objective formulation for optimal sizing of photovoltaic resources as grid connected mode in distribution systems with the aim of maximizing net present worth of system. The proposed system in this paper includes two sources such as upstream network i.e. 63/20 kV substation and photovoltaic arrays as private sector for meeting load. Total net present worth considered in this paper as objective function consists of net present worth of distribution company (DISCO) and of photovoltaic owners (PV-Owner). In order to obtain accurate results, in this paper the uncertainty of solar radiation is considered. The implemented technique is based on GA and weight method employed to obtain the best compromise between these costs. Simulation results on 33-bus distribution test system under pool market operation are presented to demonstrate the effectiveness of the proposed procedure.

Ključne riječi
genetic algorithm; Monte Carlo; optimization; photovoltaic arrays (PV); pool electricity market

Hrčak ID: 104079

URI
https://hrcak.srce.hr/104079

[hrvatski]

Posjeta: 1.339 *