Increase the photovoltaic conversion efficiency using Neuro-fuzzy control applied to MPPT

Author

Afghoul, H. ; Krim, Fateh ; Chikouche, Djamel

Author_Institution

Dept. of Electron., Univ. of Msila, Msila, Algeria

fYear

2013

fDate

7-9 March 2013

Firstpage

348

Lastpage

353

Abstract

Photovoltaic (PV) electricity is seen as an important source of renewable energy. The PV generator is an unstable power source depending on several parameters such temperature, irradiation level etc... This paper deals with an advanced energy management of a PV plant based on an intelligent control method for the maximum power point tracking (MPPT). This latter is based on a neuro-fuzzy controller of a DC-DC converter device. The design of this controller is presented using simulation. Then a comparative study of the proposed method and Perturb and Observe (PO) performance is achieved to demonstrate its quality level in terms of energy optimization and response rapidity to change in operation conditions.

Keywords

DC-DC power convertors; control system synthesis; fuzzy control; intelligent control; maximum power point trackers; neurocontrollers; photovoltaic power systems; power generation control; DC-DC converter device; MPPT; PV electricity; PV generator; PV plant; advanced energy management; energy optimization; irradiation level; maximum power point tracking; neuro-fuzzy control; perturb and observe performance; photovoltaic conversion efficiency; photovoltaic electricity; renewable energy; unstable power source; Generators; Integrated circuit modeling; DC-DC converter; MPPT; Neuro-fuzzy logic (ANFIS); PV system; Perturb & Observe (P&O);

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable and Sustainable Energy Conference (IRSEC), 2013 International

Conference_Location

Ouarzazate

Print_ISBN

978-1-4673-6373-0

Type

conf

DOI

10.1109/IRSEC.2013.6529700

Filename

6529700