Title :
Implementation of Artificial Bee Colony algorithm on Maximum Power Point Tracking for PV modules
Author_Institution :
Electr. Eng. Fac., Univ. Politeh. of Bucharest, Bucharest, Romania
Abstract :
Renewable energy has become of utmost importance in the current wake of decreasing levels of fossil fuels and also because of the high percentages of CO2 build-up in the environment. Nowadays there is an increasing trend in the use of solar energy by using photovoltaic (PV). In this paper Artificial Bee Colony algorithm is used for Maximum Power Point Tracking and its performance is compared with Perturb and Observe algorithm.
Keywords :
maximum power point trackers; optimisation; solar power; MPPT; PV modules; artificial bee colony algorithm; fossil fuels; maximum power point tracking; perturb and observe algorithm; photovoltaic modules; renewable energy; solar energy; Linear programming; Mathematical model; Optimization; Photovoltaic systems; Signal processing algorithms; Temperature; artificial bee colony algorithm; maximum power point tracking; photovoltaic modules;
Conference_Titel :
Advanced Topics in Electrical Engineering (ATEE), 2013 8th International Symposium on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-5979-5
DOI :
10.1109/ATEE.2013.6563495
