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Prethodno priopćenje
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 | citiraj | |
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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 08.03.2021. 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: 08.03.2021.) 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 08.03.2021.];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: 08.03.2021.] |
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| Puni tekst: hrvatski, pdf (924 KB) | str. 511-518 | citiraj | |
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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 08.03.2021. 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: 08.03.2021.) 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 08.03.2021.];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: 08.03.2021.] |
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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
Moj profil
Srce