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

This release is associated with a paper entitled "A Novel Framework for Day-Ahead Market Clearing Process Featuring a Hybrid Pricing Mechanism". 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.本数据集关联一篇题为《含混合定价机制的日前市场出清流程新框架》的论文。本文档提供了用于线性化表征日前市场中发电公司与配电运营商参与的市场出清流程的均衡约束数学规划（MPEC）问题的数学处理方法。此外，本文档还给出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，本文档包含了用于呈现论文研究结果的输配电系统相关信息，该两类系统分别为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3台可再生能源不可调度发电机组，配电系统则新增5台可调度发电机组与3台不可调度发电机组。本次研究共考虑13种负荷曲线，且针对每个不确定变量（风速、太阳辐照度、配电侧负荷波动、输电侧负荷波动）均设置5种场景。本文档同时提供了电力系统各元件的成本与物理参数相关数据。