Modeling of Maximum Solar Power Tracking by Genetic Algorithm Method

M. Jamiati
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引用次数: 3

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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基于遗传算法的太阳能最大功率跟踪建模
本文利用MATLAB SIMULINK建立了太阳能电池的模型。研究了恒温下不同辐照度值的P-V、I-V和P-I特性。采用直接控制方法,将遗传算法应用于光伏发电系统的最大功率点跟踪。本文的主要目标是找出最优角度,用于太阳能组件的位置控制和最优功率跟踪。GAs的原理是寻找适应度函数的最大值,而不是幂导数的最小值;这提供了更多的稳定性,并尽量减少最大功率点(MPP)附近的输出功率振荡。该方案的主要贡献是消除了通常存在的用于操纵占空比的PI控制回路。仿真结果表明,该控制器在各种环境条件下都优于其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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