A PIC controller for grid connected PV system

Author

Lima, J.C. ; Medeiros, A. ; Canalli, V.M. ; Antunes, F. ; Reis, F. S dos

Author_Institution

Dept. de Engenharia Electr., Univerisidade Federal do Ceara, Fortaleza, Brazil

fYear

2000

fDate

2000

Firstpage

307

Lastpage

311

Abstract

The propose of this work is to describe the implementation of a controller for tracking the point of maximum power transfer based on neural networks, using a microcontroller of the PIC family, on energy systems that use photovoltaic panels. A neural network is used to determine at each instant the maximum output voltage in a DC-DC converter connected to the solar panels, and so obtain the maximum power transfer of these panels. Once the neural network is trained, it can be implemented in a dedicated system. The maximum power transfer of the system is obtained by adjusting the duty cycle of the DC-DC converter

Keywords

DC-DC power convertors; learning (artificial intelligence); microcontrollers; neural nets; photovoltaic power systems; power control; power system control; solar cell arrays; DC-DC converter; DC-DC converter duty cycle adjustment; PIC controller; energy systems; grid connected PV system; maximum output voltage; maximum power transfer; maximum power transfer point tracking; microcontroller; neural network; neural network training; neural networks; photovoltaic panels; solar panels; Artificial neural networks; Control systems; Costs; DC-DC power converters; Neural networks; Photovoltaic cells; Photovoltaic systems; Pulse width modulation inverters; Solar power generation; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Congress, 2000. CIEP 2000. VII IEEE International

Conference_Location

Acapulco

Print_ISBN

0-7803-6489-9

Type

conf

DOI

10.1109/CIEP.2000.891431

Filename

891431