117 citations · 343 across the 18 of their papers we have counts for
8 papers · 1 filter
Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity
Wenyun Ju, Horacio Silva-Saravia, Neeraj Nayak +4
This letter proposes a new approach for online detection of low-quality synchrophasor data under both normal and event conditions. The proposed approach utilizes the features of sy…
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…
Adaptive Switching Control of Wind Turbine Generators for Necessary Frequency Response
Yang Liu, Yichen Zhang, Kai Sun +1
This letter proposes a new control strategy for wind turbine generators to decide the necessity of switches between the normal operation and frequency support modes. The idea is to…
On the Modeling and Simulation of Anti-Windup Proportional-Integral Controller
Hantao Cui, Yichen Zhang, Federico Milano +1
This paper investigates the chattering and deadlock behaviors of the proportional-integral (PI) controller with an anti-windup (AW) limiter recommended by the IEEE Standard 421.5-2…
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…
Review on Set-Theoretic Methods for Safety Verification and Control of Power System
Yichen Zhang, Yan Li, Kevin Tomsovic +2
Increasing penetration of renewable energy introduces significant uncertainty into power systems. Traditional simulation-based verification methods may not be applicable due to the…
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…