Title :
Probabilistic analysis of solar photovoltaic output based on historical data
Author :
Zulkifli, N.A. ; Razali, Noor Miza Muhammad ; Marsadek, M. ; Ramasamy, Agileswari K.
Author_Institution :
Dept. of Electr. Power Eng., Univ. Tenaga Nasional, Kajang, Malaysia
Abstract :
Solar photovoltaic (PV) is one of the favorable renewable energy sources since it is considered environmentally friendly. Yet it is still at the infancy stage due to the high cost of PV cells. Furthermore, the PV output is dependent on the solar radiation intermittency and the location of installation. This paper presents a probabilistic analysis of a hypothetical solar photovoltaic system in Peninsular Malaysia. From the recorded meteorological data, an analysis of the probabilistic distribution function of the hourly solar radiation is carried out. A comparison has been made between two different locations in order to analyse their characteristics by using meteorological data of KLIA Sepang and Kuala Terengganu Airport. This paper adopts a method considering a multi-state model instead of two-state model which is used for modeling conventional generator to cater for the intermittency of solar radiation. A linear rounding method is recommended for simplification of the multi-state model for effective computation. The results show that based on irradiance data in Peninsular Malaysia, development of microgrid containing solar photovoltaic power system has a good potential for further development.
Keywords :
distributed power generation; solar cells; solar power stations; solar radiation; statistical distributions; KLIA Sepang; Kuala Terengganu Airport; PV cells; Peninsular Malaysia; conventional generator; historical data; hypothetical solar photovoltaic system; irradiance data; linear rounding method; microgrid; multi-state model; probabilistic analysis; probabilistic distribution function; recorded meteorological data; renewable energy sources; solar photovoltaic output; solar photovoltaic power system; solar radiation intermittency; Atmospheric modeling; Computational modeling; Generators; Photovoltaic systems; Probability density function; Solar radiation;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-2421-9
DOI :
10.1109/PEOCO.2014.6814413