该文分析光伏组件及阵列在间歇性局部遮挡条件下的输出特性,并针对光伏阵列的多峰性能曲线提出一种能准确追踪最大功率点的自适应粒子群算法。利用5参数模型原理,在Simulink中搭建光伏组件及阵列的仿真模型。以西部绿色建筑全国重点实验室光伏阵列为例,应用Sketch up进行日照分析,模拟得到实际阴影遮挡条件,代入上述模型中得到性能曲线,并通过自适应粒子群算法进行MPPT追踪。最后通过实验证明模型的准确性。
Abstract
The output characteristics of photovoltaic modules and arrays under intermittent partial shadow occlusion conditions are analyzed, and an adaptive particle swarm optimization algorithm that can accurately track the maximum power point for the multi-peak performance curve of photovoltaic arrays is proposed. Using the principle of five-parameter model, the simulation model of photovoltaic modules and arrays is built in Simulink. Taking a photovoltaic array in Xi'an as an example, Sketch up is used for sunshine analysis, and the actual shadow occlusion conditions are simulated, which are brought into the above model to obtain the performance curve, and MPPT tracking is carried out by adaptive particle swarm optimization algorithm. Finally, the accuracy of the model is proved by experiments.
关键词
太阳电池 /
最大功率点追踪 /
太阳能发电 /
部分遮挡
Key words
photovoltaic cells /
maximum power point tracking /
solar power generation /
partial occlusion
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基金
“十四五”国家重点研发计划（2022YFC3802705）; 国家自然科学基金面上项目（52078408）
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