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Synthesis of hourly wind power series using the Moving Block Bootstrap method

机译:使用移动块自举方法综合每小时风电序列

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Reliability studies of power systems will have to include different renewable resources, because of their increasing importance in the generation mix. Wind is now the most developed intermittent renewable source of energy, and wind power series are needed to include it in Monte Carlo based studies. However, to generate correct wind power series for a given power system using ARIMA/GARCH methods is complex because of their nonlinear character and seasonality. In this paper a simpler approach based on the Moving Block Bootstrap method is proposed. This method is easy to implement, and effective if there is enough representative data. The paper describes the features of wind power production in peninsular Spain, proposes a bootstrap method to generate wind power production scenarios and shows the applicability of the method by means of an adequacy study of the IEEE-RTS system adding wind and concentrating solar power.
机译:电力系统的可靠性研究将必须包括不同的可再生资源,因为它们在发电组合中的重要性日益提高。风力是目前最发达的间歇性可再生能源,需要风力系列以将其包括在基于蒙特卡洛的研究中。但是,由于ARIMA / GARCH方法的非线性特性和季节性,使用ARIMA / GARCH方法生成正确的风力系统功率序列很复杂。本文提出了一种基于移动块自举方法的更简单方法。此方法易于实现,并且在有足够的代表性数据的情况下有效。本文介绍了西班牙半岛风力发电的特点,提出了一种自举法来产生风力发电情景,并通过对IEEE-RTS系统中增加风能和集中太阳能的充分研究,证明了该方法的适用性。

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