Maximum power point tracking of a partially shaded solar photovoltaic system using a modified firefly algorithm-based controller

Idoko Sunday John, Abubakar Abdulkarim, Gbenga A. Olarinoye
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Abstract

Abstract Solar photovoltaic (PV) system is one of the most promising power systems based on renewable energy sources, with several advantages compared to others. However, solar PV systems have a challenge of low conversion efficiency because most of the irradiances of the sun, which are channelled to the PV panels, are not fully utilized for power consumption. A more challenging situation of the system occurs when some of its panels are obstructed from full reception of the solar irradiance, a case referred to as partial shading conditions (PSC) in solar PV systems. This leads to the generation of multiple, unequal power peaks in the system, from which the one with the highest power must be tracked for optimum utilization of the system. To this regard, this work presents a modified firefly algorithm-based controller, tied operationally with a DC–DC boost converter. A model was developed and simulated on MATLAB, for tracking the maximum power point of the system, both at constant solar irradiance and at PSC.
基于改进萤火虫算法控制器的部分遮阳太阳能光伏系统最大功率点跟踪
太阳能光伏(PV)系统是基于可再生能源的最有前途的电力系统之一,与其他系统相比具有许多优点。然而,太阳能光伏系统面临着转换效率低的挑战,因为大部分的太阳辐照度,被引导到光伏电池板,并没有充分利用的电力消耗。当系统的一些面板无法完全接收太阳辐射时,系统会出现更具挑战性的情况,这种情况被称为太阳能光伏系统中的部分遮阳条件(PSC)。这导致系统中产生多个不相等的功率峰值,必须跟踪功率最高的峰值,以实现系统的最佳利用。为此,本工作提出了一种改进的基于萤火虫算法的控制器,该控制器与DC-DC升压转换器捆绑在一起。在MATLAB上建立了一个模型并进行了仿真,用于跟踪系统在恒定太阳辐照度和PSC下的最大功率点。
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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