Real-time weather data analysis by the solar fuzzy logic-based MPPT controller

Harsh Bhati, Lata Gidwani
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Abstract

The performance of a solar (PV) system with a boost converter using maximum power point tracking (MPPT) control algorithms is studied in this article. The primary goals of the latest renewable energy systems are to harvest the maximum amount of power possible from high-penetration renewable energy sources and to step up the low voltage to the required voltage level with low-power semiconductor switches. Mostly in the current study period, MPPT control technology and power converter are available. This study uses real-time data from the PV system in the area of 25.1383°N, 75.8076°E in India to analyze the boost converter or in this location, there is a change in the maximum power generated in a day due to changes in weather conditions and how much longer we can find the maximum power output due to the fluctuations. The boost converter has less switching loss and voltage stress. The FL-MPPT controller is taken into account while evaluating the effectiveness of the MPPT approach in a PV system, and the findings demonstrate that it provides the best and most steady output.
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利用基于太阳能模糊逻辑的MPPT控制器对实时天气数据进行分析
本文研究了采用最大功率点跟踪(MPPT)控制算法的升压变换器太阳能系统的性能。最新的可再生能源系统的主要目标是从高渗透可再生能源中获取最大可能的功率,并通过低功率半导体开关将低电压提升到所需的电压水平。在目前的研究阶段,最常用的是MPPT控制技术和功率转换器。本研究使用来自印度25.1383°N, 75.8076°E区域的光伏系统的实时数据来分析升压转换器,或者在该位置,由于天气条件的变化,每天产生的最大功率发生变化,以及由于波动我们可以找到最大功率输出多长时间。升压变换器具有较小的开关损耗和电压应力。在评估光伏系统中MPPT方法的有效性时,考虑了FL-MPPT控制器,结果表明它提供了最佳和最稳定的输出。
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