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Stochastic modeling of the output power of photovoltaic generators in various weather conditions

Batool, M., Islam, S.M. and Shahnia, F. (2016) Stochastic modeling of the output power of photovoltaic generators in various weather conditions. In: Australasian Universities Power Engineering Conference (AUPEC) 2016, 25 - 28 September 2016, University of Queensland, Brisbane

Link to Published Version: http://dx.doi.org/10.1109/AUPEC.2016.7749382
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Abstract

The intermittency of solar-powered energy sources prompt the uncertainty of load management. The influence of shading (whatever the reason may be) directly diminishes the feasible output power of the photovoltaic (PV) generators. The major causes of shading are the weather condition changes like the clouds, storms, and rains. Thereby, the dispatchable power for a distinct weather condition at an explicit time frame needs to be quantified. The stochastic modeling of a practical PV system has been performed in this paper. A step-by-step MATLAB-based algorithm is developed for tracking of dispatchable power limit using the Monte Carlo Principle. The proposed algorithm describes the weather condition as a function of cloud presence. The prescribed characteristics consist of the solar irradiance and the ambient temperature. The impact of weather changes on the output power of a PV system is evaluated by this algorithm. The results of this research are concluded by realistic data analysis taken from the Australian bureau of meteorology.

Publication Type: Conference Paper
Murdoch Affiliation: School of Engineering and Information Technology
URI: http://researchrepository.murdoch.edu.au/id/eprint/35046
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