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首页> 外文期刊>Energy >A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading
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A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading

机译：一种基于改进遗传算法的新颖MPPT（最大功率点跟踪）算法，该算法专门跟踪受部分阴影影响的光伏系统中的全局最大功率点

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摘要

This article presents a novel MPPT (maximum power point tracking) algorithm, based on a modified GA (genetic algorithm). When photovoltaic systems are affected by partial shading, a GMPPT (global maximum power point tracking) algorithm is required to increase the energy harvesting capability of the system. A new GMPPT algorithm is proposed in this article: a P&O (perturb and observe) algorithm is integrated inside the GA function and creates a single algorithm. By embedding a simple MPPT algorithm (P&O) inside the structure of the GA, the population size and the number of iterations are decreased, thus finding the MPP (maximum power point) in a shorter time. The algorithm parameters (population size, number of genes, and number of iterations) are optimized and the final solution is provided. A macro-model is used to average the real DC-DC converter and reduce the computation burden of the simulator, thus reducing the simulation time. The control part and the GMPPT algorithm were implemented on a DSP (digital signal processor) and tested on an experimental small scale photovoltaic system. A description of this algorithm and its performances are detailed in this article, verified through simulation and experimental results.
机译：本文提出了一种基于改进的GA（遗传算法）的新颖MPPT（最大功率点跟踪）算法。当光伏系统受到部分阴影的影响时，需要使用GMPPT（全局最大功率点跟踪）算法来提高系统的能量收集能力。本文提出了一种新的GMPPT算法：在GA函数内部集成了P＆O（扰动和观察）算法，并创建了一个算法。通过将简单的MPPT算法（P＆O）嵌入到GA结构内部，可以减少总体大小和迭代次数，从而在更短的时间内找到MPP（最大功率点）。优化算法参数（种群大小，基因数和迭代数），并提供最终解决方案。宏模型用于对实际DC-DC转换器进行平均，并减轻了模拟器的计算负担，从而减少了仿真时间。控制部分和GMPPT算法在DSP（数字信号处理器）上实现，并在实验性小型光伏系统上进行了测试。本文详细描述了该算法及其性能，并通过仿真和实验结果进行了验证。

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