Results of trials on Model Predictive Control and Optimal Power Flow and Input Time Series

The given data contains the results from laboratory trials related to the paper "Optimizing Congestion Management andEnhancing Resilience in Low-Voltage Grids Using OPF and MPC Control Algorithms Through Edge Computing and IEC 61850 Standards" currently in publication in IEEE Access. On a given low voltage test grid, state estimations have been executed to determine the system state in a given base scenario. Consequently, Optimal Power Flow and Model Predicitve Control algorithms have been used to cure the congestions as well as follow time varying power flow constraints. Additionally, the time series of the solar panel in the test grid as well of the resistive load are given.

本数据集包含与论文《通过边缘计算和 IEC 61850 标准，利用 OPF 和 MPC 控制算法优化低压电网的拥堵管理并增强其弹性》相关的实验室试验结果，该论文现正在 IEEE Access 期刊发表。在特定的低压测试电网中，执行了状态估计以确定在特定基准场景下的系统状态。随后，运用了最优潮流和模型预测控制算法来缓解拥堵并遵循时变的潮流约束。此外，还提供了测试电网中太阳能板以及电阻负载的时间序列数据。