Satin Bower Bird Algorithm Based Solar Photovoltaic System

Nootan Kaushik, Paruchuri Srinivas, Singh Chetan, P. Y. Teja, S. Harish
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Abstract

The Maximum Power Point Tracking (MPPT)approach using the Satin Bowerbird Algorithm (SBA) strategies enhances the efficiency and performance of the photovoltaic system. The Satin Bowerbird is a developmental method that mimics the mating process of the bowerbird in the matin period. This report raises a particular model based on the satin bower bird optimization., which in return provide reduce in the potential losses and consequently widening the net saving as the SBA has the lowest deviation value among the well-known approaches. Moreover, there is a special consideration of the bio-inspired MPPT algorithm. The model deployed based on the SBA express the steady state dynamic., which is adapted to minimize the mean square deviation between the measured and computed voltages in the real time function.
基于Satin Bower Bird算法的太阳能光伏系统
采用缎面园丁鸟算法(SBA)策略的最大功率点跟踪(MPPT)方法提高了光伏系统的效率和性能。缎面园丁鸟是一种模仿园丁鸟在早晨交配过程的发育方法。本文提出了一个基于缎面凉亭鸟优化的特殊模型。,这反过来又减少了潜在损失,从而扩大了净节约,因为SBA在已知方法中具有最低的偏差值。此外,还特别考虑了仿生MPPT算法。基于SBA部署的模型表示稳态动态。,用于最小化实时函数中测量电压与计算电压之间的均方差。
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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