分布式光伏发电功率预测气象建模点选择方法研究

Han Wu, Liping Zhang, Zehan Lu, Chao Wu, Ling Zhou, Xincheng Tian
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引用次数: 0

摘要

为了提高分布式光伏发电功率预测精度,提出了一种基于地理网格划分的分布式光伏气象建模点选择方法。首先进行地理网格划分,输入装机容量分布、光资源评价、地理地形等数据;然后设计地理网格分组聚合算法,建立分布式电厂功率预测的聚合关系。最后,根据聚类组中的评价分数确定气象建模点位置,对分布式光伏发电功率预测进行气象建模和算法建模。
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Research on Meteorological Modeling Point Selection Method for Distributed PV Power Prediction
This paper has proposed a distributed PV meteorological modeling point selection method based on geographic grid division, aiming to improve the distributed PV power prediction accuracy. Firstly, the geographic grid division is carried out, and data such as installed capacity distribution, light resource assessment and geographic topography are input. Then the geographic grid grouping aggregation algorithm is designed to establish the aggregation relationship on power prediction for distributed power plants. Finally, the meteorological modeling point location is determined according to the evaluation score in the clustering group, and the meteorological and algorithmic modeling for distributed PV power prediction are carried out.
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