Supporting data for "Integration of Renewable Energy for Power Restoration - Real Time Digital Simulation Approach"

This research presents a platform specifically built for immediate simulation suited to DT and PHIL methods. It is designed to prototype, demonstrate, and assess GFMIs under various critical scenarios for power restoration. By incorporating the Perez Model into the DT model through simulation exchange, the accuracy in comparison with the PHIL model is enhanced. Thus, the entire restoration process can be thoroughly represented and analyzed. My work introduces a novel approach to integrating renewable energy resources using PHIL-based digital twins technology to enhance power restoration stability. The dataset Involves different testing under inverters for power hardware-in-the-loop testing with solar panels, giving frequency and voltage data for different simulations.本研究提出一款专为适配数字孪生（Digital Twin, DT）与功率硬件在环（Power Hardware-in-the-Loop, PHIL）方法构建的实时仿真平台。该平台可针对电力恢复场景下的各类关键工况，对GFMI进行原型开发、演示与评估。通过仿真交互将佩雷斯模型（Perez Model）集成至数字孪生模型后，相较于纯功率硬件在环模型，该平台的仿真精度得到显著提升，由此可对完整的电力恢复流程进行全面表征与分析。本研究提出一种基于功率硬件在环的数字孪生技术集成可再生能源的全新方法，以提升电力恢复过程的稳定性。本数据集涵盖了搭配太阳能板开展功率硬件在环测试时，针对逆变器的各类测试场景，可提供不同仿真工况下的频率与电压数据。