使用地理和历史天气数据自动生成PV生产概况

B. Vonk, Madeleine Gibescu, E. Veldman, J. Slootweg
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引用次数: 2

摘要

本文介绍了一种自动生成给定地理区域和未来可再生能源部署情景的光伏生产概况的概率模型。这些概要文件的模型使用建筑物的本地属性、人口统计数据和历史天气数据。子模型根据荷兰智能电网试点站点的实际光伏数据和基于文献的场景进行校准。结果表明,该模型具有良好的性能,并与光伏装机历史数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic PV production profile generation using geographic and historical weather data
This paper introduces on a probabilistic model to automatically generate photovoltaic production profiles for a given geographical region and future scenarios for deployment of renewable energy resources. The model for these profiles uses local properties of buildings, demographic statistics, and historical weather data. Sub-models are calibrated with actual PV data from a smart grid pilot site in the Netherlands and literature based scenarios. It is shown that the model performs adequately and the results are compared with historical data of photovoltaic installations.
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