Título del libro: 2018 Ieee International Autumn Meeting On Power, Electronics And Computing, Ropec 2018
Título del capítulo: Solar irradiance estimation based on image analysis
MICHEL ALEJANDRO RIVERO CORONA;
Autores externos:
Idioma:
Inglés
Año de publicación:
2019
Palabras clave:
Correlation methods; Electric power systems; Image processing; Open source software; Photovoltaic cells; Solar power generation; Solar radiation; Estimation process; Expensive hardware; Global solar irradiances; Image acquisition systems; Pearson correlation coefficients; Red , green and blues; Solar irradiances; Solar photovoltaic power; Open systems
Resumen:
In order to effectively integrate large scale PV Systems into electric power systems, there is a need to cope with the intermittency in PV generation due to the fluctuating nature of the solar resource, mainly induced by cloud motion. In this sense, solar photovoltaic power estimation is a key issue for grid operators, power generators, as well as for other entities. This work presents a global solar irradiance estimation scheme based on a linear regression using several image features. These features, that include spectral and textural features, gather image data related to cloudiness. Features are based on grayscale image, as well as red, green and blue (RGB) layers of color images. Several features has been analyzed and compared, and those with higher Pearson correlation coefficient with solar irradiance have been used for the estimation process. The image acquisition system is compact and was build with commercial and not expensive hardware. Image processing is done using open-source software. Two types of lenses have are compared: normal (flat) and fisheye. Results show that fisheye lens offers a better performance that normal lens. © 2018 IEEE.
Entidades citadas de la UNAM:
ISBN:
9781538659359
Editorial:
Institute of Electrical and Electronics Engineers Inc.
