Distributed Data-Driven Frequency Control in Networked Microgrids via Voltage Regulation.
IEEE Trans. Smart Grid, September, 2024
Topology-Transferable Physics-Guided Graph Neural Network for Real-Time Optimal Power Flow.
IEEE Trans. Ind. Informatics, September, 2024
Renewable energy exporting consumption-oriented transfer limit switching control: A unsupervised learning-based method.
CoRR, 2024
Real-Time Topology Estimation for Active Distribution System Using Graph-Bank Tracking Bayesian Networks.
IEEE Trans. Ind. Informatics, April, 2023
Operational Reliability Assessment of Distribution Network With Energy Storage Systems.
IEEE Syst. J., March, 2023
Two stage Robust Nash Bargaining based Benefit Sharing between Electric and HCNG Distribution Networks Bridged with SOFC.
CoRR, 2023
A Deep Reinforcement Learning-Based Real-Time Control for Transfer Limits of Critical Inter-Corridors.
Proceedings of the EEET 2021: 4th International Conference on Electronics and Electrical Engineering Technology, Nanjing, China, December 3, 2021
Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints.
CoRR, 2020
Ensemble Learning for Power Systems TTC Prediction With Wind Farms.
IEEE Access, 2019