Power variability of small scale PV systems caused by shading from passing clouds in tropical region

L. Jiang, D. Maskell, R. Srivatsan, Qing Xu
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引用次数: 9

Abstract

Due to the nonlinear characteristics of the photovoltaic (PV) cell and of the bypass diode used to mitigate against hot spots, not only the amplitude of the irradiance can influence the power output but also the irradiance distribution. For a small to medium PV installation, the power output could be significantly influenced when clouds pass over a solar power installation and temporarily block the incoming radiation from sun. Especially in tropical regions, shading events caused by passing clouds are significantly common. This paper examines the power variability of the small scale PV installations caused by the impact of passing clouds in tropical regions. An array of 16 irradiance sensors (4 by 4), which collect data at 1-second intervals, the irradiance difference between individual sensors in the sensor array is investigated. Three typical weather conditions, namely overcast, clear and cloudy, are tested in the experiment, with cloudy days producing many large irradiance change events resulting in significant variations among the sensors. The two diode model is used to model the PV array and its parameters are identified using an improved differential evolution algorithm. This method provides good accuracy of the PV array model. After applying the measured irradiance and temperature data to the PV array model, the average power variabilities of a series of polycrystalline and CIGS thin film PV panels are studied. The results show that for polycrystalline PV systems the average power variability caused by the shading effect of passing clouds in overcast, clear and cloudy days can reach 2.84%, 4.49% and 6.71%, respectively, for a 10 hour period, while for CIGS thin film PV system 1.69%, 4.19% and 5.61%, respectively. The results also show that for the tested systems polycrystalline PV arrays are more vulnerable to the variable irradiance conditions. We plan to use this data to develop strategies for the design of PV power plants, to mitigate against the shading effect caused by passing clouds in tropical regions.
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热带地区过往云层遮阳引起的小型光伏系统功率变化
由于光伏电池和用于缓解热点的旁路二极管的非线性特性,不仅辐照度的振幅会影响输出功率,而且辐照度分布也会影响输出功率。对于小型到中型的光伏装置,当云层经过太阳能发电装置并暂时阻挡太阳辐射时,功率输出可能会受到显著影响。特别是在热带地区,由云层通过引起的遮阳事件非常普遍。本文研究了热带地区由过云影响引起的小型光伏发电装置的功率变异性。采用16个4 × 4的辐照度传感器阵列,每隔1秒采集数据,研究了传感器阵列中单个传感器之间的辐照度差异。实验中测试了三种典型的天气条件,即阴天、晴天和多云,多云天气会产生许多较大的辐照度变化事件,导致传感器之间的差异很大。采用双二极管模型对光伏阵列进行建模,并采用改进的差分进化算法对其参数进行辨识。该方法提供了良好的光伏阵列模型精度。将测量到的辐照度和温度数据应用到光伏阵列模型中,研究了一系列多晶和CIGS薄膜光伏板的平均功率变化。结果表明:多晶硅光伏系统在阴天、晴天和阴天通过云层遮阳效应引起的10 h平均功率变异性分别为2.84%、4.49%和6.71%,CIGS薄膜光伏系统的平均功率变异性分别为1.69%、4.19%和5.61%。测试结果还表明,在不同辐照度条件下,多晶光伏阵列更易受到影响。我们计划利用这些数据来制定光伏电站的设计策略,以减轻热带地区通过云层造成的遮阳效应。
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