Anemos.Rulez: Rule based extreme event prediction and alarming to support the integration of wind power

H. Waldl, Philipp Brandt
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引用次数: 2

Abstract

In this paper, we discuss the need to predict and alarm upcoming extreme events of the wind power domain, such as a sharp increase in wind power production or safety shut downs of turbines. These predictions are needed as a complement to daily operational wind power predictions to ensure grid stability. As there is no universal definition for these kind of extreme events, we describe important parameters for their definition and factors that influence these parameters. A tool for extreme event predictions, Anemos.Rulez, will be presented, including evaluation results from an application test case.
Anemos。规则:基于规则的极端事件预测和预警,以支持风电一体化
在本文中,我们讨论了风电领域即将发生的极端事件的预测和报警的必要性,例如风电产量的急剧增加或涡轮机的安全停机。这些预测需要作为日常运行风电预测的补充,以确保电网的稳定性。由于这类极端事件没有统一的定义,我们描述了其定义的重要参数和影响这些参数的因素。一个极端事件预测工具,Anemos。规则,将被呈现,包括来自应用程序测试用例的评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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