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Updated: Jan 10, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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基于WAMS数据和物理模型的深度集成的新能源电网中短暂频率响应的在线预测方法

Kailin Yan1, Yi Hu1, Han Xu1

  • 1School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China.

Entropy (Basel, Switzerland)
|November 26, 2025
PubMed
概括

本研究引入了一种新的在线方法,用于预测高可再生能源集成的电力系统中短暂的频率不稳定性. 物理引导的机器学习方法提高了电网频率安全性的准确性和可靠性.

关键词:
在MLP-GRU-注意力模型中.关于WAMS数据的数据信息的信息.新能源电网的新能源电网.物理指导式学习是指导式学习.短暂的频率预测的预测.

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