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Considering Wind Speed Correlation Of Wecs In Reliability Evaluation Using The Time-shifting Technique

机译：使用时移技术在可靠性评估中考虑Wecs的风速相关性

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摘要

Wind power is a very useful renewable energy source that is attracting consideration around the world due to its non-exhaustive nature and its environmental and social benefits. The correlation between multiple wind sites has a significant impact on the reliability of power systems containing wind energy conversion systems (WECS). Conventional methods cannot be directly applied to evaluate the reliability of WECS in the absence of comprehensive modeling techniques that recognize the correlation of the wind speeds at different wind farm locations. This paper proposes a model for power system reliability assessment that can consider the wind speed correlation and preserve the statistical characteristics of wind speeds, such as the mean and deviation of the wind speed time series (WSTS). A time-shifting technique is used to produce a new WSTS for a given correlation between two wind sites. The optimal shifted time at the two sites is determined using a linear interpolation technique. The probability distributions of the generated power and the system reliability indices with different degrees of correlation between the two sites are compared using two reliability test systems, i.e. the RBTS and the IEEE-RTS. The results show that the proposed method is useful in evaluating the reliability of WECS with correlation between two wind sites.
机译：风能是一种非常有用的可再生能源，由于它的非穷尽性及其环境和社会效益，因此引起了全世界的关注。多个风场之间的相关性对包含风能转换系统（WECS）的电力系统的可靠性具有重大影响。在缺乏能够识别不同风电场位置的风速相关性的综合建模技术的情况下，常规方法无法直接应用于评估WECS的可靠性。本文提出了一种用于电力系统可靠性评估的模型，该模型可以考虑风速相关性并保留风速的统计特征，例如风速时间序列（WSTS）的均值和偏差。对于两个风场之间的给定相关性，使用时移技术来生成新的WSTS。使用线性插值技术确定两个位置的最佳平移时间。使用两个可靠性测试系统，即RBTS和IEEE-RTS，比较两个站点之间具有不同相关程度的发电功率和系统可靠性指标的概率分布。结果表明，所提出的方法对于评估两个风场之间相关性的WECS的可靠性是有用的。

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