As the penetration of renewable energy sources increases, their variability and uncertainty have pushed the development of secure stochastic approaches to solving the secure day-ahead and intra-day multi-period optimal power flow. Some of these approaches, in addition to settling the energy market, also procure other products that generators can offer such as spinning reserves and ramping capability, the latter of which becomes even more important under high penetration of renewable sources. The resulting large scale nonlinear minimization problem makes using the more simple DC flow model of the network appealing, at least in the day-ahead stage. This work focuses on the impact of using an AC vs. a DC model of the network in the results of these multi-dimensional markets, using the Colombian system as a test case. The study implies that although the overall energy allocations may not change much from one model to another, other products may exhibit very different allocations under different network models.

中文翻译：

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在多周期安全随机最优潮流中使用交流或直流网络模型解决多维日前市场的重要性

随着可再生能源渗透率的增加，它们的可变性和不确定性推动了安全随机方法的发展，以解决安全的日前和日内多周期最优潮流。其中一些方法除了稳定能源市场外，还采购发电机可以提供的其他产品，例如旋转储备和爬坡能力，后者在可再生能源的高渗透率下变得更加重要。由此产生的大规模非线性最小化问题使得使用更简单的网络直流流模型具有吸引力，至少在日前阶段是这样。这项工作的重点是在这些多维市场的结果中使用网络的 AC 与 DC 模型的影响，使用哥伦比亚系统作为测试案例。