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Robust unit commitment with dispatchable wind power

机译:强大的机组承诺和可调度的风力发电

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The increasing penetration of uncertain generation such as wind and solar in power systems imposes new challenges to the unit commitment (UC) problem, one of the most critical tasks in power systems operations. The two most common approaches to address these challenges - stochastic and robust optimization - have drawbacks that restrict their application to real-world systems. This paper demonstrates that, by considering dispatchable wind and a box uncertainty set for wind availability, a fully adaptive two-stage robust UC formulation, which is typically a bi-level problem with outer mixed-integer program (MIP) and inner bilinear program, can be translated into an equivalent single-level MIP. Experiments on the IEEE 118-bus test system show that computation time, wind curtailment, and operational costs can be significantly reduced in the proposed unified stochastic-robust approach compared to both pure stochastic approach and pure robust approach, including budget of uncertainty. (C) 2017 The Authors. Published by Elsevier B.V.
机译:不确定性发电(如风能和太阳能)在电力系统中的渗透率不断提高,这对机组承诺(UC)问题提出了新的挑战,这是电力系统运行中最关键的任务之一。应对这些挑战的两种最常见的方法-随机和鲁棒性优化-具有将其应用限制在实际系统中的缺点。本文证明,通过考虑可调度风和针对风可利用性的箱形不确定性集合,可以实现完全自适应的两阶段鲁棒UC公式,这通常是外部混合整数程序(MIP)和内部双线性程序的双层问题,可以转换为等效的单级MIP。在IEEE 118总线测试系统上进行的实验表明,与纯随机方法和纯鲁棒方法(包括不确定性预算)相比,所提出的统一随机-鲁棒方法可以显着减少计算时间,减少风耗和运营成本。 (C)2017作者。由Elsevier B.V.发布

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