基于交叉熵法优化的最近邻MPPT

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI:10.1109/ICSEE.2018.8646091

R. Machlev, Y. Levron

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引用次数: 1

摘要

最大功率点跟踪(MPPT)技术被用于提高光伏发电系统的效率。提出了一种基于交叉熵方法的最近邻优化算法。该方法与系统无关，精度高，易于实现。利用不同辐照度的轮廓进行了仿真，验证了算法的性能。

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Nearest Neighbor MPPT with Cross-Entropy Method optimization

Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement. the performance of the algorithm is validate in simulation using profile of different irradiances.

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2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)

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