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Two-stage robust generation expansion planning considering long- and short-term uncertainties of high share wind energy

机译:考虑高股风能的长期和短期不确定性,两阶段强大的一代扩展规划

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This paper introduces a two-stage robust generation expansion planning (GEP) methodology under the presence of wind energy uncertainty. Both longand short-term uncertainties are incorporated into the proposed GEP model. The first stage concerns the impact of long-term wind uncertainty through the annual variation of wind capacity factor. The second stage deals with the problem of short-term uncertainty using the autoregressive moving average (ARMA) model. A polyhedral uncertainty set is introduced through its variance-covariance matrix considering the correlation between the uncertain coefficients of different wind sites. Various GEP results are presented for different wind uncertainty scenarios. The results have demonstrated that the correlation among the uncertain coefficients yields a less conservatism robust solution. Various solutions to cope with the short term wind uncertainty impact are proposed. The most economical method among the proposed solutions involves developing a tailored objective function to achieve economic optimality.
机译:本文在风能不确定性的存在下介绍了两级强大的生成扩展规划(GEP)方法。隆起的短期不确定因素都纳入了拟议的GEP模型。第一阶段涉及长期风不确定性通过风力容量因数的年度变化的影响。第二阶段使用自回归移动平均(ARMA)模型来涉及短期不确定性的问题。考虑到不同风力点的不确定系数之间的相关性,通过其方差协方差矩阵引入多面体不确定性集。提供了各种风险不确定性情景的GEP结果。结果表明,不确定系数之间的相关性产生较少的保守主义稳健的解决方案。提出了应对短期风不确定性影响的各种解决方案。拟议解决方案中最经济的方法涉及制定量身定制的目标函数来实现经济最优性。

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