Dynamic reinforcement identification method for weak links in distribution network based on deep graph neural network
Year: 2024
Type: conference-paper
Abstract: Aiming at the insufficient recognition accuracy of weak points in the distribution network, a dynamic enhancement recognition method for weak nodes in the distribution network based on a deep graph neural network is proposed. It integrates the complex topology of the distribution network, automatically extracts key features, and accurately locates and reinforces weak links in real time. The results show that the recognition accuracy and system stability are significantly improved.
Authors: Qiang Jin, Yu Zhang, Hongjun Li, Jinyue Shi, Yuchen Zhao
Institution: State Grid Corporation of China (China)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405256930