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首页> 外文会议>2017 5th International Conference on Electrical Engineering - Boumerdes >A GSO-based maximum power point tracking algorithm for photovoltaic systems
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A GSO-based maximum power point tracking algorithm for photovoltaic systems

机译：基于GSO的光伏系统最大功率点跟踪算法

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The paper presents a new MPPT method based on Golden-Section Optimization (GSO) technique for photovoltaic systems. The GSO-based MPPT converges to the MPP by interval shrinking. Initially, two points have been selected from the search space that is known, evaluated then a new point is accordingly generated. At given iteration the algorithm has a new narrowed interval bounded by the new point and one of the initial points according to the evaluation results. The algorithm stops iterating when the interval is small enough and the PV is forced to operate at the average value of the last found interval without perturbing either the voltage or the duty cycle. This makes the PV system converges rapidly to the MPP and without voltage or power oscillations around the maximum power point (MPP), thereby low energy waste. Results show that, the proposed MPPT algorithm uses a few arithmetic operations and tracks rapidly and accurately the MPP of PV systems under fast changing conditions and partial shading.
机译：本文提出了一种基于黄金分割优化（GSO）技术的光伏系统MPPT新方法。通过间隔缩小，基于GSO的MPPT收敛到MPP。最初，已经从已知的搜索空间中选择了两个点，对其进行了评估，然后相应地生成了一个新点。在给定的迭代中，该算法具有一个新的缩小间隔，该间隔由新点和根据评估结果得出的初始点之一限制。当间隔足够小时，算法将停止迭代，并且将PV强制以最后找到的间隔的平均值进行操作，而不会干扰电压或占空比。这使光伏系统迅速收敛到MPP，并且在最大功率点（MPP）附近没有电压或功率振荡，从而降低了能源浪费。结果表明，在快速变化的条件和局部阴影下，所提出的MPPT算法使用了一些算术运算，可以快速准确地跟踪光伏系统的MPP。

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