5 papers
Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling
Yichen Zhang, Hantao Cui, Jianzhe Liu +4
With the increasing penetration of renewable energy, frequency response and its security are of significant concerns for reliable power system operations. Frequency-constrained uni…
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Yichen Zhang, Feng Qiu, Tianqi Hong +2
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions onli…
Deep Active Learning for Solvability Prediction in Power Systems
Yichen Zhang, Jianzhe Liu, Feng Qiu +2
Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism. Machine learning methods have been proposed to approach the r…
Robust Trajectory-Constrained Frequency Control for Microgrids Considering Model Linearization Error
Yichen Zhang, Chen Chen, Tianqi Hong +3
The capability to switch between grid-connected and islanded modes has promoted adoption of microgrid technology for powering remote locations. Stabilizing frequency during the isl…
Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints
Yichen Zhang, Chen Chen, Guodong Liu +2
In this paper, we introduce a deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem. The nonlinear function between system…