Preliminary communication
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
Full text: croatian pdf 924 Kb
page 511-518
downloads: 309
cite
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. Retrieved from 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, no. 3, 2013, pp. 511-518. https://hrcak.srce.hr/104079. Accessed 24 Apr. 2024.
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, no. 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), pp. 511-518. Available at: https://hrcak.srce.hr/104079 (Accessed 24 April 2024)
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 [cited 2024 April 24];20(3):511-518. Available from: 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, no. 3, pp. 511-518, 2013. [Online]. Available: https://hrcak.srce.hr/104079. [Accessed: 24 April 2024]
Full text: english pdf 924 Kb
page 511-518
downloads: 736
cite
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. Retrieved from 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, no. 3, 2013, pp. 511-518. https://hrcak.srce.hr/104079. Accessed 24 Apr. 2024.
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, no. 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), pp. 511-518. Available at: https://hrcak.srce.hr/104079 (Accessed 24 April 2024)
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 [cited 2024 April 24];20(3):511-518. Available from: 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, no. 3, pp. 511-518, 2013. [Online]. Available: https://hrcak.srce.hr/104079. [Accessed: 24 April 2024]
Abstract
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.
Keywords
genetic algorithm; Monte Carlo; optimization; photovoltaic arrays (PV); pool electricity market
Hrčak ID:
104079
URI
https://hrcak.srce.hr/104079
Publication date:
15.6.2013.
Article data in other languages:
croatian
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