23 citations · 34 across the 7 of their papers we have counts for
8 papers
Efficient Extreme Operating Condition Search for Online Relay Setting Calculation in Renewable Power Systems Based on Parallel Graph Neural Network
Yan Li, Zengli Yang, Youhuai Wang +4
The Extreme Operating Conditions Search (EOCS) problem is one of the key problems in relay setting calculation, which is used to ensure that the setting values of protection relays…
Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning
Yan Li, Jingyu Wang, Jiankang Zhang +5
Searching for the Extreme Operating Conditions (EOCs) is one of the core problems of power system relay protection setting calculation. The current methods based on brute-force sea…
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions
Jianhua Pei, Ping Wang, Jingyu Wang +1
Fast and robust dynamic state estimation (DSE) is essential for accurately capturing the internal dynamic processes of power systems, and it serves as the foundation for reliably i…
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises
Jianhua Pei, Cheng Feng, Ping Wang +2
Deep learning (DL)-based Semantic Communications (SemCom) is becoming critical to maximize overall efficiency of communication networks. Nevertheless, SemCom is sensitive to wirele…
A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawings
Lvyang Yang, Jiankang Zhang, Huaiqiang Li +4
The digitization of engineering drawings is crucial for efficient reuse, distribution, and archiving. Existing computer vision approaches for digitizing engineering drawings typica…
Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties
Jianhua Pei, Jingyu Wang, Dongyuan Shi +1
Power system cyber-physical uncertainties, including measurement ambiguities stemming from cyber attacks and data losses, along with system uncertainties introduced by massive rene…
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks
Shengyang Wu, Jingyu Wang, Dongyuan Shi
False Data Injection Attack (FDIA) has become a growing concern in modern cyber-physical power systems. Most existing FDIA detection techniques project the raw measurement data int…
Automatic Generation of Topology Diagrams for Strongly-Meshed Power Transmission Systems
Jingyu Wang, Jinfu Chen, Dongyuan Shi +1
Topology diagrams are widely seen in power system applications, but their automatic generation is often easier said than done. When facing power transmission systems with strongly-…