Comparison between MPPTs for PV systems using P&O and Grey Wolf controllers

Feriel Abdelmalek, H. Afghoul, F. Krim, Djallal Eddine Zabia, Taha Lamdjed Belahcene, Salah Anis Krim
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Abstract

Photovoltaic (PV) systems have recently come to be recognized as the most promising renewable energy source. Due to the photovoltaic generator’s dependence on solar radiation, temperature, and electrical charges, a common issue is that PV system has relatively low conversion efficiency. Solutions based on Maximum Power Point Tracking (MPPT) technologies can increase this efficiency. Utilizing a variety of Maximum Power Point (MPP) technologies, the duty cycle of the DC-DC converter connecting a load and a PV generator can be controlled. Due to their ease of use and low implementation costs, the traditional P& O algorithms were discussed and contrasted with a modern technique named grey wolf optimization (GWO) which demonstrated outstanding performance in maintaining an accurate results while greatly reducing the tracking time to find the precise MPP. Add to lowering the fluctuation inherent in P& O method.
采用P&O和灰狼控制器的光伏系统MPPTs的比较
光伏(PV)系统最近被认为是最有前途的可再生能源。由于光伏发电机组对太阳辐射、温度和电荷的依赖性,光伏系统的一个普遍问题是转换效率相对较低。基于最大功率点跟踪(MPPT)技术的解决方案可以提高效率。利用各种最大功率点(MPP)技术,可以控制连接负载和光伏发电机的DC-DC转换器的占空比。由于传统的P& O算法易于使用和实现成本较低,因此对其进行了讨论,并与现代的灰狼优化(GWO)技术进行了比较,后者在保持准确结果的同时大大减少了寻找精确MPP的跟踪时间。加上降低P& O方法固有的波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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