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Adequacy assessment of generation system based on time-sequential state transition matrices of wind speeds

机译:基于风速的时序状态转移矩阵的发电系统充分性评估

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The adequacy assessment of generation system including wind farm is a complicated process due to the inherent uncertainty of wind power generation. To evaluate the reliability benefit of the integration of wind power properly, it is critical to model the stochastic characteristics of wind power generation accurately. Considering that wind power output highly depends on wind speed, several methods to simulate wind speed have been studied. However, some statistical indices that obtained from the wind speeds simulated by the existing methods and the historical wind data do not match exactly. In this paper, a novel model, where time-sequential transition matrices of wind speed are established based on historical hourly data, is proposed to simulate the wind speed series. The proposed model is compared with probability sampling, time series analysis in terms of several statistical indices, and it is observed that the proposed method has an advantage over other methods. Through the wind integrated IEEE-RTS test system, the ability of different wind speed models to reflect the macroscopic statistical properties of actual wind speed data is compared. Besides, the impact of different wind speed models on the adequacy assessment of generation system is analyzed.
机译:由于风力发电的内在不确定性,包括风电场在内的发电系统的充分性评估是一个复杂的过程。为了正确评估风力发电整合的可靠性收益,准确地模拟风力发电的随机特性至关重要。考虑到风能输出高度依赖于风速,已经研究了几种模拟风速的方法。但是,从现有方法模拟的风速和历史风数据获得的一些统计指标并不完全匹配。本文提出了一种基于历史小时数据建立风速的时间序列过渡矩阵的新模型,以模拟风速序列。将该模型与概率抽样,时间序列分析等多个统计指标进行了比较,发现该方法具有优于其他方法的优点。通过集成的IEEE-RTS风测试系统,比较了不同风速模型反映实际风速数据的宏观统计特性的能力。此外,分析了不同风速模型对发电系统充分性评估的影响。

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