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

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...

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Main Authors: Batool, M., Islam, Syed, Shahnia, Farhad
Format: Conference Paper
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/50734
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author Batool, M.
Islam, Syed
Shahnia, Farhad
author_facet Batool, M.
Islam, Syed
Shahnia, Farhad
author_sort Batool, M.
building Curtin Institutional Repository
collection Online Access
description 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.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-507342017-09-13T15:41:02Z Stochastic modeling of the output power of photovoltaic generators in various weather conditions Batool, M. Islam, Syed Shahnia, Farhad 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. 2016 Conference Paper http://hdl.handle.net/20.500.11937/50734 10.1109/AUPEC.2016.7749382 restricted
spellingShingle Batool, M.
Islam, Syed
Shahnia, Farhad
Stochastic modeling of the output power of photovoltaic generators in various weather conditions
title Stochastic modeling of the output power of photovoltaic generators in various weather conditions
title_full Stochastic modeling of the output power of photovoltaic generators in various weather conditions
title_fullStr Stochastic modeling of the output power of photovoltaic generators in various weather conditions
title_full_unstemmed Stochastic modeling of the output power of photovoltaic generators in various weather conditions
title_short Stochastic modeling of the output power of photovoltaic generators in various weather conditions
title_sort stochastic modeling of the output power of photovoltaic generators in various weather conditions
url http://hdl.handle.net/20.500.11937/50734