DocumentCode :
2808350
Title :
Type 1 and type 2 fuzzy TSK modeling of solar radiation for PV power generation
Author :
Jafarzadeh, S. ; Fadali, M.S. ; Etezadi-Amoli, M. ; Nafeh, A.
Author_Institution :
Dept. of Electr. & Biomed. Eng., Univ. of Nevada, Reno, NV, USA
fYear :
2010
fDate :
26-28 Sept. 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a simple approach to the modeling of solar radiation data with type-1 and type-2 fuzzy models. The approximation error associated with the fuzzy representation is specified by the modeler and is used in the procedure to obtain the fuzzy model. The approach allows fuzzy type-2 modeling using data with uncertainty. The proposed method is used to estimate solar radiation in Al-Kharga Oasis in Egypt for PV power generation. We provide the simulation results for type-1 and type-2 modeling. The results show that type-2 modeling provides better radiation estimates than type-1 modeling, particularly at low radiation levels. In addition, type-2 models also provide an estimate of the estimation error bounds.
Keywords :
approximation theory; fuzzy set theory; photovoltaic power systems; PV power generation; approximation error; error bound estimation; fuzzy TSK modeling; fuzzy representation; solar radiation data modeling; Approximation methods; Biological system modeling; Data models; Estimation; Fuzzy systems; Solar radiation; Uncertainty; Approximation; Fuzzy systems; Solar radiation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2010
Conference_Location :
Arlington, TX
Print_ISBN :
978-1-4244-8046-3
Type :
conf
DOI :
10.1109/NAPS.2010.5618975
Filename :
5618975
Link To Document :
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