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Day-Ahead Contingency-Constrained Unit Commitment With Co-Optimized Post-Contingency Transmission Switching

机译:前方的应急限制单位承诺与共同应急的应急传输切换

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This paper addresses the incorporation of transmission switching in the contingency-constrained unit commitment problem within the context of co-optimized electricity markets for energy and reserves. The proposed generation scheduling model differs from existing formulations due to the joint consideration of four major complicating factors. First, transmission switching actions are considered both in the pre- and post-contingency states, thereby requiring binary post-contingency variables. Secondly, generation scheduling and transmission switching actions are co-optimized. In addition, the time-coupled operation of generating units is precisely characterized. Finally, practical features of modern power systems, such as uncertain nodal net injections and the operation of energy storage, are also considered. The proposed model is cast as a challenging mixed-integer program for which the off-the-shelf software customarily used for simpler models may lead to intractability even for moderately-sized instances. In order to circumvent this computational issue, this paper presents an enhanced and novel application of an exact nested column-and-constraint generation algorithm featuring the inclusion of valid constraints to improve the overall computational performance. Numerical simulations based on the IEEE 118- and 300-bus systems demonstrate the effective performance of the proposed approach as well as its economic and operational advantages over existing models disregarding post-contingency transmission switching.
机译:本文在共同优化的能量和储备的背景下,解决了在应急限制的单位承诺问题中的传输切换。由于联合考虑了四个主要复杂因素,所提出的代表调度模型与现有配方不同。首先,在累积前和后关节和后关节状态下都考虑传输切换动作,从而需要二进制后缀变量。其次,生成调度和传输切换动作是共同优化的。另外,生成单元的时耦合操作精确地表征。最后,还考虑了现代电力系统的实际特征,例如不确定的节点净喷射和能量存储的操作。所提出的模型作为一个具有挑战性的混合整数程序,用于通常用于更简单的模型的现成软件可能导致富诡计,即使是适度的尺寸大小的情况。为了规避这一计算问题,本文提出了一种增强和新的应用,精确嵌套列和约束生成算法,其包含有效的约束来提高整体计算性能。基于IEEE 118和300总线系统的数值模拟展示了所提出的方法的有效性能以及对现有模型的经济和运行优势,无视应急后传输切换。

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