Supporting data for "Integration of Renewable Energy for Power Restoration - Real Time Digital Simulation Approach"
收藏DataCite Commons2025-03-26 更新2025-04-16 收录
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https://datahub.hku.hk/articles/dataset/Supporting_data_for_Integration_of_Renewable_Energy_for_Power_Restoration_-_Real_Time_Digital_Simulation_Approach_/28530308/1
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资源简介:
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.
提供机构:
HKU Data Repository
创建时间:
2025-03-26



