Implementation of Modified Gravitational Search Algorithm for Solar Panel Parameters Extraction

R. Sarjila, K. Ravi, J. Belwin Edward, A. Manimegalai
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Abstract

This paper proposes a non-linear problem for the extraction of parameters in a solar photovoltaic system. As many of the optimization algorithms used so far does not work at the low irradiance level a novel approach of parameter extraction using a gravitational search algorithm is presented. At different irradiance level, different parameters of various PV panels are evaluated. The results and critical evaluation of MGSA optimization approach are then compared with genetic and gravitational search algorithms. The simulation MATLAB output confirms the suitability of the MGSA for parameter extraction of solar PV panels.
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太阳能电池板参数提取的修正重力搜索算法的实现
本文提出了一个提取太阳能光伏系统参数的非线性问题。由于迄今为止使用的许多优化算法都无法在低辐照度下工作,因此本文提出了一种使用引力搜索算法提取参数的新方法。在不同的辐照度水平下,对各种光伏板的不同参数进行了评估。然后将 MGSA 优化方法的结果和关键评估与遗传算法和引力搜索算法进行比较。模拟 MATLAB 输出结果证实了 MGSA 适用于太阳能光伏板的参数提取。
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