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Static security risk evaluation of the power system with wind speed correlation

机译:风速相关的电力系统静态安全风险评估

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Because of the close geographic location of wind farms in the same power grid, the correlation of their wind speeds and the correlation of the generated wind power are obvious. This study proposes a novel method which provides the static security risk evaluation of the power system with wind speed correlation. In this study, Ranked Set Sampling Monte Carlo simulation (RSMCS) which is based on the Nataf transformation and Ranked Set Sampling is involved for the investigation of the impacts of wind speed correlation on probabilistic load flow. The proposed method provides a low computation intensive mechanism to generate a high accurate solution with a relative easy implementation. The proposed method is validated with a modified IEEE-30 bus system which consists of four wind farms. The static security risk of current operating state with wind speed correlation is also analyzed in validation work.
机译:由于风电场在同一电网中的地理位置很近,因此它们的风速之间的相关性与所产生的风力的相关性很明显。这项研究提出了一种新颖的方法,该方法提供了具有风速相关性的电力系统的静态安全风险评估。在这项研究中,基于纳塔夫变换和排序集抽样的排序集抽样蒙特卡罗模拟(RSMCS)参与了研究风速相关性对概率潮流的影响。所提出的方法提供了一种低计算量的机制来生成具有相对容易实现的高精度解决方案。改进的IEEE-30总线系统(由四个风电场组成)验证了该方法的有效性。在验证工作中,还分析了与风速相关的当前运行状态的静态安全风险。

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