Power Operation Optimization of Photovoltaic Stand Alone System with Variable Loads Using Fuzzy Voltage Estimator and Neural Network Controller

Author

Paucar, B. Chuco ; Ortiz, J. L Roel ; Collazos, K.S. ; Leite, L.C. ; Pinto, J.O.P.

Author_Institution

Electr. Eng. Dept., Fed. Univ. of Mato Grosso do Sul, Campo Grande

fYear

2007

Firstpage

544

Lastpage

548

Abstract

This work presents the simulation of a maximum voltage estimator and control system to maintain the photovoltaic (PV) generator in the maximum power point, independent of load variations. A fuzzy logic systems (FLS) is implzemented, to estimate, from radiation and temperature data, the maximum voltage of operation of PV generator. The charge and discharge of the battery and the SOC battery are controlled with a radial basis function neural network (RBF-NN).

Keywords

fuzzy logic; neurocontrollers; photovoltaic power systems; voltage control; fuzzy logic systems; fuzzy voltage estimator; neural network controller; photovoltaic generator; photovoltaic stand alone system; power operation optimization; radial basis function neural network; variable loads; Batteries; Control system synthesis; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Photovoltaic systems; Solar power generation; Voltage control; Fuzzy systems; Maximum power; Maximum voltage; Photovoltaic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech, 2007 IEEE Lausanne

Conference_Location

Lausanne

Print_ISBN

978-1-4244-2189-3

Electronic_ISBN

978-1-4244-2190-9

Type

conf

DOI

10.1109/PCT.2007.4538375

Filename

4538375