DocumentCode :
585209
Title :
Photovoltaic array modelling with P&O MPPT algorithm in MATLAB
Author :
Hamidon, F.Z. ; Aziz, P.D.A. ; Yunus, N.H.M.
Author_Institution :
Electr. Technol. Sect., UniKL - British Malaysian Inst., Gombak, Malaysia
fYear :
2012
fDate :
10-12 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Photovoltaic (PV) arrays are used in many terrestrial applications. It exhibits a non-linear i-v characteristic which electrical energy production is depending on typical conditions such as solar irradiance and temperature. For best utilizations, the PV arrays must be operated at their maximum power point (MPP) via good implementation of Maximum Power Point Tracking (MPPT) algorithm technique. It is important to be aware that the MPP varies with respect to the characteristic of PV arrays in various conditions as mentioned above. Thereby, a detailed simulation model of PV array by employing the most popular MPPT algorithm of Perturb & Observe (P&O) has been developed in MATLAB. This model allows characterizing the PV array in terms of different temperature and irradiance as variable parameters. The parameters´ variations under Malaysian conditions are also being considered. The outputs of the model are i-v and p-v characteristics as well as the voltage, current and power at MPP of the PV array are simulated from MATLAB script file. The simulation results will be presented and analyzed in this paper.
Keywords :
mathematics computing; maximum power point trackers; photovoltaic power systems; power engineering computing; Malaysian conditions; Matlab script file; P&O MPPT algorithm; P-V characteristics; PV arrays; electrical energy production; maximum power point tracking algorithm technique; nonlinear I-V characteristic; parameter variation; photovoltaic array modelling; solar irradiance; terrestrial applications; Arrays; Integrated circuit modeling; MATLAB; Mathematical model; Photovoltaic systems; Temperature; P&O MPPT; PV Arrays; i-v and p-v Characteristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1581-4
Type :
conf
DOI :
10.1109/ICSSBE.2012.6396616
Filename :
6396616
Link To Document :
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