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Modeling of Maximum Solar Power Tracking by Genetic Algorithm Method

عنوان مقاله: Modeling of Maximum Solar Power Tracking by Genetic Algorithm Method
شناسه ملی مقاله: JR_IJEE-12-2_003
منتشر شده در در سال 1400
مشخصات نویسندگان مقاله:

M. Jamiati - Department of Physics, Naragh Branch, Islamic Azad University, Naragh, Iran

خلاصه مقاله:
This paper presents a model of solar cell by using MATLAB SIMULINK. P-V, I-V and P-I characteristics were studied for various values of irradiance at constant temperature. Genetic Algorithm (GA) was used for maximum power point tracking (MPPT) of Photovoltaic (PV) system using the direct control method. The main objective of this paper is to find out the optimal angle, which is used for the positional control of solar module and optimal power tracking. The principle of GAs is searching for the maximum of fitness function and not for the minimum of power derivation; this gives more stability and minimize oscillation of output power around the maximum power point (MPP). The main contribution of the proposed scheme is the elimination of PI control loop which normally exists to manipulate the duty cycle. Simulation results indicate that the proposed controller outperforms the others method for all type of environmental conditions.

کلمات کلیدی:
Genetic Algorithm Method, MATLAB Simulink, Maximum power point tracking, Photovoltaic, Solar Cell

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1241053/