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首页> 外文会议>International Conference on Computer Theory and Applications >Fast Convergence Modified Cuckoo Search Algorithm to Pursue String PV Modules Maximum Power Point under Partial Shading Conditions
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Fast Convergence Modified Cuckoo Search Algorithm to Pursue String PV Modules Maximum Power Point under Partial Shading Conditions

机译：快速融合修改的Cuckoo搜索算法在局部阴影条件下追求串PV模块的最大功率点

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摘要

Photovoltaic modules under partially shaded conditions have complicated power-against-voltage characteristics curve with numerous power peaks comprising of global power peak and local power peaks. In order to achieve the utmost benefits, the Photovoltaic system should be forced to operate at the global maximum power point (GMPP) and that's what the conventional methods have failed to achieve. Many soft computing techniques have been designed to track (GMPP) but, the main challenge is how to achieve that tracking with the fastest time, the lowest fluctuations, minimal tuning parameters, and the highest efficiency. In this paper, a modified cuckoo search algorithm is proposed after investigating the main idea of the cuckoo search algorithm and how it was applied to solve the problem of numerous power peaks. This modified algorithm has the ability to exclude or promote some parts of the solution search space and redirects the newly generated random sample towards the promoted space. Further, the proposed algorithm has been simulated for a patterns' power-voltage curve by using MATLAB/Simulink software. The simulation results indicate that the proposed method outperforms the conventional cuckoo search algorithm in terms of the global maximum power point tracking (GMPPT) speed with the lowest fluctuations and highest efficiency.
机译：部分阴影条件下的光伏模块具有复杂的功率 - 抵抗电压特性曲线，其具有许多功率峰值，包括全局功率峰值和局部功率峰值。为了实现最大的好处，光伏系统应被迫在全球最大功率点（GMPP）上运行，这就是传统方法未能实现的目标。许多软计算技术已经设计用于跟踪（GMPP），但是，主要挑战是如何实现最快的时间，最低波动，最小调谐参数和最高效率的跟踪。在本文中，在调查Cuckoo搜索算法的主要思想之后提出了一种修改的Cuckoo搜索算法以及如何应用于解决众多功率峰值的问题。这种修改的算法能够排除或推广解决方案搜索空间的某些部分，并将新生成的随机样本重定向到促销空间。此外，通过使用MATLAB / SIMULIND软件已经模拟了所提出的算法的电源电压曲线。仿真结果表明，所提出的方法在全局最大功率点跟踪（GMPPT）速度方面优于具有最低波动和最高效率的传统Cuckoo搜索算法。

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