Flexible Robust Unit Commitment Considering Subhourly Wind Power Ramp Behaviors

Bo Hu, Yuzhong Gong, C. Chung
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引用次数: 1

Abstract

The focus of existing studies on day ahead unit commitment (DAUC) considering wind power have mainly been on the hourly operation constraints. However, if the sub-hourly wind power variations are not carefully considered, the obtained unit commitment (UC) solutions may not be flexible enough to accommodate the sub-hourly wind variations and results in wind curtailments. To ensure the full utilization of wind power, in this paper a robust optimization-based UC model considering sub-hourly wind power variation is proposed. The objective is to provide a flexible and robust UC solution for the thermal units, which ensures sufficient ramp up and ramp down reserves for the variations of wind power in the intra-hour time frame. Firstly, a non-parametric approach based on the 2-dimensional kernel density estimation is proposed to quantify the sub-hourly wind power variability. Then, based on the quantification results, a set of ramp constraints are imposed on the robust UC model. A column and constraint generation method is applied to solve the improved UC model. The proposed model is tested and compared with conventional UC models on IEEE 39 bus test system to verify its effectiveness.
考虑亚小时风力发电坡道行为的柔性稳健机组承诺
考虑风电的日前机组承诺(DAUC)研究的重点主要集中在小时运行约束上。然而,如果不仔细考虑亚小时风力变化,则获得的机组承诺(UC)解决方案可能不够灵活,无法适应亚小时风力变化,从而导致弃风。为了保证风电的充分利用,本文提出了一种考虑亚小时风电功率变化的鲁棒优化UC模型。目标是为热机组提供灵活而强大的UC解决方案,确保在小时内风力发电的变化有足够的上升和下降储备。首先,提出了一种基于二维核密度估计的非参数方法来量化亚小时风电变率。然后,根据量化结果,对鲁棒UC模型施加一组斜坡约束。采用列约束生成方法求解改进的UC模型。在IEEE 39总线测试系统上对该模型进行了测试,并与传统的UC模型进行了比较,验证了该模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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