| Autor: |
Basri, Mohd Juhari Mat, Abdullah, Samizee, Azrulhisham, Engku Ahmad, Harun, Khairulezuan |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2016, Vol. 1782 Issue 1, p1-7, 7p, 2 Color Photographs, 4 Charts, 3 Graphs |
| Abstrakt: |
Solar photovoltaic energy could be as alternative energy to fossil fuel, which is depleting and posing a global warming problem. However, this renewable energy is so variable and intermittent to be relied on. Therefore the knowledge of energy potential is very important for any site to build this solar photovoltaic power generation system. Here, the application of higher order statistical moment model is being analyzed using data collected from 5MW gridconnected photovoltaic system. Due to the dynamic changes of skewness and kurtosis of AC power and solar irradiance distributions of the solar farm, Pearson system where the probability distribution is calculated by matching their theoretical moments with that of the empirical moments of a distribution could be suitable for this purpose. On the advantage of the Pearson system in MATLAB, a software programming has been developed to help in data processing for distribution fitting and potential analysis for future projection of amount of AC power and solar irradiance availability. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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