Photovoltaic (PV) system performance under cold and polluted conditions

寒冷和污染条件下光伏（PV）系统的性能

• 批准号: RGPIN-2015-05175
• 负责人: Taheri, Shamsodin
• 金额: $ 1.6万
• 依托单位: Québec en Outaouais
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=757381
• 关键词: Photovoltaic; PV; system; performance; under

Solar energy is now considered to be one of the most reliable and promising sources of renewable energy. Efficiency of conversion of solar energy into electricity by means of photovoltaic (PV) systems varies considerably depending on atmospheric conditions such as ice, snow and pollution. In fact, ice, snow and pollution deposits on solar panels can reduce their performance or even stop them from absorbing solar radiation. The general objective of this research program is to investigate fundamentally the effect of such conditions on the energy efficiency of the PV systems in Canada. The energy reduction of the PV systems due to the partial shading phenomenon when ice, snow and pollution layers cover the PV panel surface non-uniformly will be investigated experimentally. The lack of mathematical models for forecasting the electrical performance of PV systems under such conditions has motivated the present study, which aims at developing reliable models to analyze behavior of the PV system integrated into the power system. The PV system will be modeled through extracting mathematical equations from associated physical phenomena. Due to the partial shading phenomenon, the PV system experiences several local Maximum Power Points (MPP). Hence, a Maximum Power Point Tracker (MPPT) to extract maximum power from the PV array through tracing the PV operating voltage corresponding to the MPP will be proposed. Moreover, a control system will be presented to regulate the voltage and frequency when the PV system energizes the power grid.Based on the results obtained from laboratory work and simulation using the 3D Finite Element Method (FEM), several possible solutions to optimize the energy generated by the PV will be offered. In particular, this work will provide valuable information for the selection of the optimized dimension and tilt angle of the PV arrays with respect to the severity of ice, snow and pollution. The generated MPPT model will offer effective methods to extract the maximum power from the PV systems in cold and polluted regions. The proposed control system will provide smooth integration of the PV system into the power grid, efficient energy extraction from the PV system as well as frequency/voltage regulation of the power grid in cold and polluted environments. Due to particular climate conditions in Canada as well as the rapid growth of photovoltaic systems, this work will attract considerable interest of the PV community, both researchers and practitioners.

太阳能现在被认为是最可靠和最有前途的可再生能源之一。通过光伏（PV）系统将太阳能转化为电能的效率根据冰、雪和污染等大气条件的不同而有很大差异。事实上，太阳能电池板上的冰、雪和污染沉积物会降低其性能，甚至阻止其吸收太阳辐射。该研究计划的总体目标是从根本上调查此类条件对加拿大光伏系统能源效率的影响。将通过实验研究当冰、雪和污染层不均匀地覆盖光伏电池板表面时，由于局部遮蔽现象而导致的光伏系统的能耗降低。由于缺乏预测这种条件下光伏系统电气性能的数学模型，本研究的目的是开发可靠的模型来分析集成到电力系统中的光伏系统的行为。光伏系统将通过从相关物理现象中提取数学方程来建模。由于局部阴影现象，光伏系统会经历多个局部最大功率点（MPP）。因此，将提出一种最大功率点跟踪器（MPPT），通过跟踪与 MPP 相对应的光伏工作电压来从光伏阵列中提取最大功率。此外，还将提出一个控制系统，用于在光伏系统为电网供电时调节电压和频率。根据实验室工作和使用 3D 有限元法 (FEM) 进行模拟获得的结果，提出了几种可能的能源优化解决方案将提供由PV产生的。特别是，这项工作将为根据冰雪和污染的严重程度选择光伏阵列的优化尺寸和倾斜角度提供有价值的信息。生成的 MPPT 模型将为在寒冷和污染地区从光伏系统中提取最大功率提供有效的方法。所提出的控制系统将提供光伏系统与电网的平滑集成、光伏系统的高效能量提取以及寒冷和污染环境下电网的频率/电压调节。由于加拿大特殊的气候条件以及光伏系统的快速发展，这项工作将引起光伏界研究人员和从业者的极大兴趣。