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Setting the maximum import net transfer capacity under extreme RES integration scenarios

机译:在极端RES集成方案下设置最大导入净传输容量

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In order to reduce the curtailment of renewable generation in periods of low load, operators can limit the import net transfer capacity (NTC) of interconnections. This paper presents a probabilistic approach to support the operator in setting the maximum import NTC value in a way that the risk of curtailment remains below a pre-specified threshold. Main inputs are the probabilistic forecasts of wind power and solar PV generation, and special care is taken regarding the tails of the global margin distribution (all generation - all loads and pumping), since the accepted thresholds are generally very low. Two techniques are used for this purpose: interpolation with exponential functions and nonparametric estimation of extreme conditional quantiles using extreme value theory. The methodology is applied to five representative days, where situations ranging from high maximum NTC values to NTC=0 are addressed. Comparison of the two techniques for modeling tails is also comprised.
机译:为了减少低负荷时期的可再生能源发电量,运营商可以限制互连的进口净传输能力(NTC)。本文提出了一种概率方法,以支持操作员以最大程度减少削减风险的方式将进口NTC值设置为低于预先确定的阈值。主要输入是风能和太阳能光伏发电的概率预测,并且要特别注意全球利润率分布的尾部(所有发电量-所有负载和抽水量),因为公认的阈值通常很低。为此,使用了两种技术:带指数函数的插值和使用极值理论的极值条件分位数的非参数估计。该方法适用于五个代表性日,其中解决了从最大NTC最大值到NTC = 0的情况。还包括对尾部建模的两种技术的比较。

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