Title :
On-line prediction of photovoltaic output power under cloudy skies by using fuzzy logic
Author :
Morsy, I. ; Seoud, A. K Aboul ; El Zawawi, A.
Author_Institution :
Fac. of Eng., Alexandria Univ., Egypt
Abstract :
This paper presents an on-line prediction technique of the photovoltaic output power under cloudy skies based on artificial intelligence. The technique takes advantage of the fact that fuzzy logic can accurately simulate nonlinear phenomena using a set of IF-THEN rules. These rules are fired partially and in-parallel. This means that, at any time, only a very limited subset of the rules is used. This enables a quick, on-line estimation of the output power of the photovoltaic cells based on the analysis of the image of the cloudy sky.
Keywords :
artificial intelligence; digital simulation; fuzzy logic; image processing; online operation; photovoltaic cells; photovoltaic power systems; power engineering computing; prediction theory; IF-THEN rules; artificial intelligence; cloudy skies; cloudy sky; fuzzy logic; image analysis; nonlinear phenomena simulation; on-line estimation; on-line prediction; photovoltaic cells; photovoltaic output power; photovoltaic power system; Batteries; Clouds; Fuzzy logic; Fuzzy systems; Lenses; Photovoltaic systems; Power engineering and energy; Power generation; Solar power generation; Sun;
Conference_Titel :
Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National
Print_ISBN :
977-5031-72-9
DOI :
10.1109/NRSC.2002.1022662