提高光电转换效率的三级混合算法研究

Teng Zhang, Jinpeng Wang, Bo Zhang, Qingxue Yao, Yufang Kang, Yuncui Zhang
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引用次数: 0

摘要

通过光伏发电的太阳能发电代表了太阳能发电的重要来源。光电转换效率的高低是评价光伏组件性能的关键。如何提高其光电转换效率已成为光伏领域的一个研究热点。提高光电转换效率的方法有很多,跟踪光伏系统的最大功率点是一种方法。本文在现有最大功率跟踪算法的基础上,提出了一种基于恒压法、电导增量法和粒子群算法的三段式混合算法,可以提高最大功率点跟踪的精度和跟踪速度,实现更高效的太阳能利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Three-stage Hybrid Algorithm in Improving Photoelectric Conversion Efficiency
Solar power generation through photovoltaics represents an important source of solar power generation. The level of photoelectric conversion efficiency is crucial to assessing the performance of photovoltaic modules. A hot topic of research in the photovoltaic field has become how to improve its photoelectric conversion efficiency. It is possible to improve the photoelectric conversion efficiency in many ways, Tracking the maximum power point of the photovoltaic system is one method. This paper proposes a three-stage hybrid algorithm based on the constant voltage method, the conductance increment method and the particle swarm algorithm on the basis of the existing maximum power tracking algorithm, which can improve the accuracy and tracking speed of the maximum power point tracking, Achieve more efficient use of solar energy.
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