Dataset for Energy Resource Management Considering Participation in the Wholesale Day-Ahead Market

This release is associated with a paper entitled "A Novel Bilevel Programming Formulation for Optimizing the Interaction of Distribution System Operators and GENCOs in Day-Ahead Markets". In this document, we provide the mathematical manipulation employed to linearize an MPEC problem that models the market-clearing process considering the participation of generation companies and distribution operators in the day-ahead market. Additionally, we provide a numerical example of the pricing mechanism designed for solving the optimization problem. Finally, we include information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE 14-bus and the IEEE 34-bus, respectively. Three renewable non-dispatchable generators were added to the original 14-bus system, while 5 dispatchable generators and 3 non-dispatchable generators were added to the distribution system. 13 load shapes were considered as well as 5 scenarios for each uncertain variable (wind velocity, solar irradiance, distribution load oscillation, and transmission load oscillation). The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.本数据集发布关联一篇题为《面向日前市场中配电系统运营商与发电公司（GENCOs）交互优化的新型双层规划模型》的论文。本文档提供了用于线性化带均衡约束的数学规划（MPEC）问题的数学处理方法，该模型刻画了考虑发电公司与配电系统运营商参与日前市场的市场出清过程。此外，本文还提供了针对该优化问题求解所设计的定价机制的数值算例。最后，本文附上了论文中展示结果所采用的输配电系统相关信息。上述系统分别为IEEE 14节点系统与IEEE 34节点系统的修改版本。原始14节点系统中新增了3台不可调度可再生发电机组，而配电系统中则新增了5台可调度发电机组与3台不可调度发电机组。本研究共考虑13种负荷曲线，并为每个不确定变量（风速、太阳辐照度、配电侧负荷波动与输电侧负荷波动）设置了5种场景。本文档提供了电力系统各元件的成本与物理参数相关数据。