Title :
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
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;
Conference_Titel :
Power Electronics Congress, 2000. CIEP 2000. VII IEEE International
Conference_Location :
Acapulco
Print_ISBN :
0-7803-6489-9
DOI :
10.1109/CIEP.2000.891431
