Distributionally Robust Unit Commitment With Flexible Generation Resources Considering Renewable Energy Uncertainty
Distributionally Robust Unit Commitment With Flexible Generation Resources Considering Renewable Energy Uncertainty
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DOI：
10.1109/tpwrs.2022.3149506
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发表时间：
2022-11
影响因子：
6.6
通讯作者：
Siyuan Wang;Chaoyue Zhao;Lei Fan;R. Bo
中科院分区：
文献类型：
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作者：
Siyuan Wang;Chaoyue Zhao;Lei Fan;R. Bo
随着间歇式可再生能源在大容量电力系统中的渗透率不断提高，快速启动燃气机组等柔性发电资源成为系统运营商解决电力不平衡问题的重要工具。为了更好地捕捉可再生能源的灵活性，我们提出了一个包含常规发电资源和柔性发电资源的两阶段分布式鲁棒机组承诺框架，其中柔性发电资源的机组承诺决策可以在第二阶段进行调整，以适应可再生能源的间歇性。为了解决这一具有挑战性的两阶段分布鲁棒混合二进制模型，我们设计了一种改进的整数l形算法，该算法采用提升和投影切割平面技术。与传统的分布式鲁棒单元承诺相比，该方法通过改进建模中的灵活资源量化，降低了系统成本。
As the penetration of intermittent renewable energy increases in bulk power systems, flexible generation resources, such as quick-start gas units, become important tools for system operators to address the power imbalance problem. To better capture their flexibility, we proposed a two-stage distributionally robust unit commitment framework with both regular and flexible generation resources, in which the unit commitment decisions for flexible generation resources can be adjusted in the second stage to accommodate the renewable energy intermittency. In order to tackle this challenging two-stage distributionally robust mixed-binary model, to which traditional separation algorithms won’t apply, we designed a revised integer L-shaped algorithm with lift-and-project cutting plane techniques. In comparison to the traditional distributionally robust unit commitment, the proposed approach can reduce the system cost through an improved flexible resource quantification in the modeling.