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A Two-Stage Stochastic Dynamic Economic Dispatch Model Considering Wind Uncertainty

机译:考虑风不确定性的两阶段随机动态经济调度模型

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摘要

This paper proposes a two-stage stochastic dynamic economic dispatch model aiming at better managing system variability and uncertainty influenced by wind generation. Stochastic decomposition algorithm is proposed to solve the model in order to facilitate real-time application. The proposed method is tested on PJM-5 and RTS-24 systems and the results verify that the model inherits advantages from conventional dynamic economic dispatch, which is able to make out of merit order dispatch instructions for future benefits. Furthermore, the proposed model can correct false generator pre-ramp instructions due to forecast error and evaluate potential nodal wise reserve requirement therefore improving reserve deliverability. For computational efficiency assessment, stochastic decomposition is compared with sample average approximation. A modified IEEE-118 bus case study is shown.
机译:本文提出了一种两阶段随机动态经济调度模型,旨在更好地管理受风力发电影响的系统可变性和不确定性。提出了随机分解算法对模型进行求解,以利于实时应用。该方法在PJM-5和RTS-24系统上进行了测试,结果验证了该模型继承了传统动态经济调度的优点,能够根据优点排序调度指令,以取得未来的收益。此外,提出的模型可以纠正由于预测误差导致的错误的发电机前斜坡指令,并评估潜在的节点明智的储备需求,从而提高储备的可交付性。为了进行计算效率评估,将随机分解与样本平均逼近进行比较。显示了修改后的IEEE-118总线案例研究。

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