Work

Interpretable Deep Learning-Enabled Dominant Instability Mode Identification in Sending-End Power Grids with Multiple HVDC Links

Year: 2025

Type: conference-paper

Source: International Conference on Electrical Engineering and Green Energy (CEEGE)

DOI: 10.1109/ceege66246.2025.11182428

Authors: Yuhan Yan, Zhenjun Gao, Weizhi Huang, Xiaoqi Zhang, Ping Wei, Feng Zhao, Xuetao Dong

Institutions: Hunan University, State Grid Corporation of China (China)

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Science and Technology Project of State Grid

OpenAlex ID: W4414898561

FWCI:

Cites: 14

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