以国电投江苏盐城柔性光伏示范基地五排三跨光伏阵列为研究对象,设计开展上下表面同步刚体测压风洞试验,分析脉动风压三维空间相关性,并基于Copula理论建立光伏阵列上下表面脉动风压边缘分布模型和联合概率分布模型。研究表明：在0°和180°最不利风向角下,光伏阵列整体脉动风压最大值均出现在#3排迎风前缘,光伏组件上、下缘整体脉动风压分别由上、下表面脉动风压起控制作用;以核密度函数作为边缘分布模型,Frank Copula和Gumbel Copula函数分别是构建光伏阵列上/下缘“整体-上/下表面”脉动风压联合概率分布模型的最优函数;提出的联合概率分布模型能够准确描述光伏阵列脉动风压二元分布特性,可实现基于光伏组件单一表面脉动风压有效预测整体脉动风压。
Abstract
Taking the 5×3 PV arrays of State Power Investment Group Flexible PV Demonstration Base in Yancheng, Jiangsu as the research object, synchronous rigid body pressure wind tunnel tests were designed and carried out on the upper and lower surfaces. The three-dimensional spatial correlation of fluctuating wind load was analyzed, the edge distribution model and joint probability distribution model of fluctuating wind load on the upper and lower surfaces of PV arrays were established based on Copula theory. Research has shown that under the most unfavorable wind direction angles of 0 ° and 180 °, the maximum overall fluctuating wind load of PV arrays occurs at the windward leading edge of row #3. The overall fluctuating wind load on the upper and lower edges of PV panels is controlled by the upper and lower surfaces respectively; Taking the kernel density function as the edge distribution model, Frank Copula and Gumbel Copula functions are the optimal functions for constructing the joint probability distribution models of “overall- upper/lower surfaces” fluctuating wind load on the upper/lower edge of PV arrays respectively; The proposed joint probability distribution models can accurately describe the binary distribution characteristics of fluctuating wind load in PV arrays, and achieve effective prediction of overall fluctuating wind load based on single surfaces of PV panels.
关键词
光伏系统 /
风洞 /
风压 /
空间相关性 /
联合概率分布
Key words
photovoltaic systems /
wind tunnels /
wind load /
spatial correlation /
joint probability distribution
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基金
国家自然科学基金NSFC-RGC 合作研究重点项目（52321165649）; 江苏省杰出青年科学基金（BK20211518）; 江苏省研究生科研与实践创新计划（KYCX22_0374）
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