利用天气数据优化调度的可再生能源系统*

Duy T. Nguyen, D. Nguyễn
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引用次数: 0

摘要

毫无疑问,可再生能源(RE)现在在我们的日常生活中发挥着关键作用,由于许多优点,如环境友好,资源无限量等,应用的多样性,它已经变得越来越受欢迎。显然,我们必须面对的唯一障碍是对天气条件的依赖,到目前为止,大多数RE系统都是不可预测的变化。因此,在本文中,我们提出了一种利用天气预报和历史天气数据来优化RE系统性能的新算法。基本上,该算法不仅充分利用了气象数据库,而且可以帮助我们决定是卸载负载还是至少在未来三小时内保持高性能运行[1]。我们已经将其嵌入到我们的可再生能源系统中,并与Darius风力涡轮机和光伏(PV)系统相结合,结果如下所示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewable Energy System Using Weather Data for Optimal Scheduling*
There is no doubt that renewable energy (RE) is now playing a key role in our daily life and has become more popular thanks to many advantages such as environment friendly, unlimited sources and so on, variable of applications. Obviously, the only one obstacle we must face is the dependence upon weather conditions which have been, so far, the unpredictable variants of most RE systems. Hence, in this paper, we propose a new algorithm using weather forecast and historical weather data in order to optimize performance of RE systems. Basically, this algorithm is not only making full use of weather data base but also helping us decide whether to discharge the load or have it operates on high performance at least in the next three hours [1]. We have already embedded it into our RE system combining with Darius wind turbine and photovoltaic (PV) system, the result is showed below.
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