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引用次数: 14
摘要
在可再生能源洞世界走向太阳能的来源。本文推导了单二极管结构的数学关系，并在MATLAB Simulink中进行了数学建模。得到了不同温度和辐照度值下电流电压和功率电压的输出波形。分析了温度和辐照度变化对太阳能电池的影响。然后利用遗传算法对太阳能电池进行参数估计。利用遗传算法，我们估计了PV电池单二极管结构的五个参数(Iph, I0, n, Rs和Rsh)。估计后，我们尝试用遗传算法提取Kyocera模块(KC200GT)的5个未知参数(Iph, I0, n, Rs和Rsh)，并比较不同方法的输出功率。我们也比较输出功率和初始参数和提取参数。
Modelling and Parameter Estimation of Solar Cell using Genetic Algorithm
In renewal energy hole worlds go towards the solar energy source. In this paper, we derive the mathematical relationship of single diode configuration and do mathematical modelling in MATLAB Simulink. And get the output waveform of current- voltage and power voltage at different temperature and irradiance value. Analysis the effect of variation in temperature and irradiance on a solar cell. After we do the parameter estimation of solar cell using genetic algorithm (GA). Using GA, we estimate the five parameters (Iph, I0, n, Rs and Rsh) form the single diode configuration of PV cell. After estimation we try to extract the five unknown parameters (Iph, I0, n, Rs and Rsh) of module Kyocera (KC200GT) using genetic algorithm and compare the output power using different methods. We also compare the output power with the initial parameters and extracted parameters.
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