Title :
Artificial neural controller for maximum power point tracking ofphotovoltaic system
Author :
Saad, N.H. ; Sattar, A.A. ; Mansoar, A.M.
Abstract :
Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) systems to collect the maximum photovoltaic array power under variations in the insolation and temperature. This paper presents an artificial neural controller for maximum power point tracking of photovoltaic system based on back- propagation algorithm. The tracking algorithm changes the duty cycle of the DC-DC converter so that PV module voltage equals the voltage corresponding to the MPPT at any given insolation level and temperature conditions.
Keywords :
DC-DC power convertors; backpropagation; maximum power point trackers; neurocontrollers; photovoltaic power systems; DC-DC converter; MPPT; PV module voltage; PV systems; artificial neural controller; back-propagation algorithm; duty cycle; maximum photovoltaic array power; maximum power point tracking; photovoltaic system; Artificial neural networks; Circuits; Control systems; Costs; DC-DC power converters; Photovoltaic systems; Signal processing algorithms; Solar power generation; Underwater tracking; Voltage;
Conference_Titel :
Power Systems Conference, 2006. MEPCON 2006. Eleventh International Middle East
Conference_Location :
El-Minia
Print_ISBN :
978-1-4244-5111-1
