东南大学学报（自然科学版）2026，Vol.56Issue(3)：434-442,9.DOI:10.3969/j.issn.1001-0505.2026.03.012
近海大平台结构光伏电站风荷载的非高斯特性研究
Study on non-Gaussian characteristics of wind loads on offshore large-scale platform photovoltaic power stations
摘要
Abstract
To enhance the rationality and safety of wind-resistant design for offshore photovoltaic(PV)power stations,wind tunnel experiments were conducted to analyze the non-Gaussian characteristics of wind loads and the extreme wind pressure distribution features on offshore large-scale platform PV power stations.The differences in peak factor estimation methods were also compared to provide a reference for standardized wind-resistant design.The results indicate that the non-Gaussian characteristics of wind loads on PV modules are more pronounced under the wind directional angles near 0° and 180°.These characteristics are observed at the upper edges of the downstream modules in the array(the wind directional angle of 0°)and the lower edge regions between the adjacent rows of the modules(the wind directional angle of 180°),respectively.The for-mer exhibits a right-skewed tail in the probability distribution,while the latter shows a left-skewed tail.Under the oblique wind directional angles such as 210° and 330°,the overall wind load distribution tends to be closer to Gaussian characteristics.The proportion of the non-Gaussian regions is higher under the wind directional angles of 0° to 30° and 150° to 180°,with a maximum value of 14.7%.The peak factor estimation results ob-tained by different methods are significantly distinct.The predictions based on the skewness coefficient method are close to the experimental results,whereas the traditional code-based methods tend to underestimate extreme wind pressures in the regions with significant non-Gaussian characteristics.关键词
非高斯特性/近海大平台结构光伏/峰值因子/风洞试验Key words
non-Gaussian characteristics/offshore large-scale platform photovoltaic/peak factor/wind tun-nel experiments分类
建筑与水利引用本文复制引用
赵悦,邵林媛,徐海巍,楼文娟,吕国儿..近海大平台结构光伏电站风荷载的非高斯特性研究[J].东南大学学报（自然科学版）,2026,56(3):434-442,9.基金项目
国家自然科学基金面上资助项目(51978614) （51978614）
浙江省自然科学基金资助项目(LY19E080026). （LY19E080026）
