Higher order statistical moment application for solar PV potential analysis

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 so...

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Bibliographic Details
Main Authors: Basri, Mohd Juhari Mat, Abdullah, Samizee, Azrulhisham, Engku Ahmad, Harun, Khairulezuan
Format: Conference Proceeding
Language:English
Subjects:
Alternative energy sources
Data processing
Empirical analysis
Fossil fuels
Irradiance
Kurtosis
Photovoltaic cells
Solar cells
Statistical analysis
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Summary: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 grid-connected 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.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4966094