Title :
A new maximum power point tracking method for photovoltaic arrays using golden section search algorithm
Author :
Shao, Riming ; Chang, Liuchen
Author_Institution :
Dept. of Elec. & Comp. Eng., Univ. of New Brunswick, Fredericton, NB
Abstract :
This paper introduces a new maximum power point tracking (MPPT) method with the golden section search (GSS) algorithm for photovoltaic (PV) systems. The basic principle and the implementation procedures of the GSS algorithm are elaborated in the paper; and the PV simulation model in Matlab/Simulink is also developed. Then the PV system with a boost chopper is modeled and simulated in Simulink. The analytic and simulated results show that the proposed new method has the advantages of fast convergence, noise-resistance, and robustness.
Keywords :
photovoltaic power systems; Matlab-Simulink; golden section search algorithm; maximum power point tracking method; noise-resistance; photovoltaic arrays; Circuits; Convergence; Mathematical model; Photovoltaic systems; Power generation; Power system modeling; Solar power generation; Sun; Temperature; Voltage; Maximum power point tracking; golden section search; photovoltaic array;
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2008.4564609
