Data-Driven Optimal Power Flow (OPF)

The dataset contains integrating renewable energy sources into power grids, emphasizing the need for advanced data-driven optimization models for optimal power flow problems. The dataset, which includes comprehensive details on both load and generator buses, covering active and reactive power measurements and voltage magnitudes and angles for the modified IEEE 39 bus system with wind power integration, is ideally suited for data-driven power system analysis studies. The dataset was generated for a part of the experiments. The load data generated from the Monte Carlo simulation and each bus voltage, angle and generator dispatch outputs produced from a power system simulator. Using the data we conducted on research, it evaluates the forecast performance of various data-driven models.

本数据集涵盖将可再生能源融入电网的场景，强调对高级数据驱动优化模型的需求，以解决最佳潮流问题。数据集详尽地记录了负载和发电机母线的详细信息，包括有功和无功功率测量值以及电压幅值和相角，针对的是集成风能的改进IEEE 39节点系统。该数据集非常适合进行数据驱动的电力系统分析研究。数据集系为实验的一部分而生成，包含了蒙特卡洛模拟产生的负载数据，以及由电力系统仿真器输出的每个母线的电压、角度和发电机调度结果。通过所进行的研究，本数据集评估了各种数据驱动模型的预测性能。