Adaptive Neuro-Fuzzy Inference System based Maximum Power Point Tracking of a Solar PV Module Conference Paper

abstract

• This paper presents and analyses the operation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) based maximum power point tracker (MPPT) for solar photovoltaic (SPV) energy generation system. The MPPT works on the principle of adjusting the voltage of the solar PV modules by changing the duty ratio of the boost converter. The duty ratio of boost converter is calculated for given solar irradiance and temperature condition by a closed-loop control scheme. The ANFIS is trained to generate the maximum power corresponding to the given solar irradiance level and temperature. The response of ANFIS based control system is highly precise and offers very fast response. Simulation results are provided to validate the concept. 2010 IEEE.

name of conference

• 2010 IEEE International Energy Conference

authors

• Abu-Rub, Haitham

published proceedings

• 2010 IEEE International Energy Conference

author list (cited authors)

• Iqbal, A., Abu-Rub, H., & Ahmed, S. M.

citation count

• 39

complete list of authors

• Iqbal, A||Abu-Rub, H||Ahmed, Sk M

publication date

• December 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• 7 Affordable And Clean Energy

Digital Object Identifier (DOI)

• 10.1109/energycon.2010.5771737

International Standard Book Number (ISBN) 13

• 9781424493807

start page

• 51

end page

• 56

URL

• http://dx.doi.org/10.1109/energycon.2010.5771737

user-defined tag

• 7 Affordable and Clean Energy