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Title

Modeling of Maximum Solar Power Tracking by Genetic Algorithm Method

Year: 1400
COI: JR_IJEE-12-2_003
Language: EnglishView: 66
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Authors

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

Abstract:

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.

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Paper COI Code

This Paper COI Code is JR_IJEE-12-2_003. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1241053/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Jamiati, M.,1400,Modeling of Maximum Solar Power Tracking by Genetic Algorithm Method,https://civilica.com/doc/1241053

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    Type of center: Azad University
    Paper count: 1,168
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