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Analysis and Modeling of Photovoltaic Module Degrading Process

机译:光伏模块劣化过程的分析与建模

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With the increase of the using time, the photovoltaic array will degrade and the output power will decrease. This paper proposes a mathematical model of the photovoltaic module degrading process. The degrading model bases on Latin hypercube sampling in the Monte Carlo simulation, using photovoltaic cells I-V characteristic function, environmental conditions and internal parameters, through normal and log-normal distribution fitting transmittance of photovoltaic modules, change in series resistance and parallel resistance. Through the proposed photovoltaic modules degrading model, a large amount of simulation results shows that, with the modules degrading, the photovoltaic modules maximum power point will deviate and diverge. The major cause of output power decrease is short circuit current attenuation. The aging of parasitic resistances mainly influences short-circuit current and open-circuit voltage, and fill factor has little change with the degrading of system. These characteristics lay a foundation for intelligent diagnosis of photovoltaic module degrading.
机译:随着使用时间的增加,光伏阵列将降低,输出功率将降低。本文提出了光伏模块劣化过程的数学模型。在蒙特卡罗模拟中的拉丁超立体采样的降级模型基础,采用光伏电池I-V特性功能,环境条件和内部参数,通过光伏模块的正常和对数正态分布透射率,串联电阻和平行电阻的变化。通过所提出的光伏模块有降解模型,大量的仿真结果表明,随着模块的劣化,光伏模块最大功率点将偏离和发散。输出功率降低的主要原因是短路电流衰减。寄生电阻的老化主要影响短路电流和开路电压,填充因子随着系统的降低而变化很小。这些特性为光伏模块劣化的智能诊断奠定了基础。

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