Early degradation factors of solar 33 kV grid connected power plant, a comparative study

Issa Cheikh Elhassene, Bamba El Heiba, Mohammed Qasim Taha, Teyeb Med Mahmoud, Zoubir Aoulmi, Issakha Youm, Abdelkader Mahmoud
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Abstract

This paper identifies and analyses early degradation mechanisms observed in photovoltaic (PV) modules of power plants over 7 years of operation on the coast power grid in Mauritania. Performance degradation takes place due to several reasons such as material degradation following dust accumulation, high temperature, and humidity. Also, mismatch of electric power parameters such as increasing loads above projected values of the plant. Therefore, this paper analyses and studies the degradation in four phases. First, the visual inspection detects the degradation of materials and defects such as the presence of dust, cracks, browning (discoloration), and connection corrosion. The second phase proposes a mathematical model to calculate the early degradation rate (DR) of different components, such as short circuit current (Isc), open circuit voltage (VOC), the maximum yield power (Pmax), and the fill factor (FF) of the PV module. The third phase is a MATLAB modeling of the measured real-time data of the operating PV system to test Power versus voltage curves (with and without degradation) to examine the presence of failure of PV modules. Finally, compare the evolution of real-time production data for three measured years (2015, 2016, and 2017) with the simulation curves of this study.
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太阳能 33 千伏并网发电厂的早期退化因素比较研究
本文确定并分析了在毛里塔尼亚沿海电网上运行 7 年的发电厂光伏(PV)模块中观察到的早期退化机制。性能退化有多种原因,如灰尘积累、高温和潮湿导致的材料退化。此外,电力参数的不匹配也会导致性能下降,例如负荷的增加超过了电站的预计值。因此,本文分四个阶段对性能退化进行分析和研究。首先,通过目测检测材料的退化和缺陷,如灰尘、裂缝、褐变(褪色)和连接腐蚀。第二阶段提出了一个数学模型,用于计算不同组件的早期退化率(DR),如光伏组件的短路电流(Isc)、开路电压(VOC)、最大输出功率(Pmax)和填充因子(FF)。第三阶段是对运行中的光伏系统的实时测量数据进行 MATLAB 建模,测试功率与电压曲线(有衰减和无衰减),以检查光伏组件是否存在故障。最后,将三个实测年份(2015 年、2016 年和 2017 年)的实时生产数据演变与本研究的模拟曲线进行比较。
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