论文标题
混合风能虚拟发电厂的日预能和储备计划的优化模型
Optimisation models for the day-ahead energy and reserve scheduling of a hybrid wind-battery virtual power plant
论文作者
论文摘要
这项工作为虚拟电厂（VPP）（由风电场和一个锂离子电池组成的虚拟电厂（VPP））提供了两个优化模型，该模型参与了伊比利亚电力市场的日常能源和二级调节储备市场。首先，使用两阶段的随机混合构成线性编程模型来获得VPP的生成和储备时间表以及电池中存储的能量的机会成本。该模型具有小时的分辨率，并且超出了市场的日程安排，并将每小时电池降解成本视为排放深度和排放速度的函数。评估了不同的策略，以预测授权的二级法规储备的实时使用。其次，使用确定性的MILP模型来确定使用AS INPUT的生成和储备时间表以及VPP的存储机会成本，并以小时滚动执行。获得的结果表明，所提出的模型可有效，可在低计算时间内使用的VPP的短期调度和重新调整，从而使其可用于日常使用和实用。
This work presents a suite of two optimisation models for the short-term scheduling and redispatch of a virtual power plant (VPP) composed of a wind farm and a Li-ion battery, that participates in the day-ahead energy and secondary regulation reserve markets of the Iberian electricity market. First, a two-stage stochastic mixed-integer linear programming model is used to obtain the VPP's generation and reserve schedule and the opportunity cost of the energy stored in the battery. The model has an hourly resolution and a look-ahead period beyond the markets' scheduling horizon and considers the hourly battery degradation costs as a function of both the depth of discharge and the discharge rate. Different strategies are evaluated to forecast the real-time use of the committed secondary regulation reserves. Second, a deterministic MILP model is used to determine the redispatch of the VPP using as input the generation and reserve schedule and the VPP's storage opportunity cost provided by the former model and is executed on an hourly rolling basis. The results obtained show that the proposed models are effective for the short-term scheduling and redispatch of the VPP used with a low computational time, making them tractable and practical for their daily use.
