7 papers · 1 filter
Physically Consistent SINDy (Sparse Identification of Nonlinear Dynamics) for Microgrid Identification and Real-Time Frequency Control
Mohan Du, Jiayi Lai, Rong-Peng Liu +1
This paper proposes PC-SINDYc, a novel framework for the identification and frequency control of microgrids (MGs) with distributed energy resources. By leveraging physics-guided li…
Detecting Cyber Attacks in Power System AGC Using a Drifted Ornstein-Uhlenbeck Process
Mingqiu Du, Xiaozhe Wang, Qinglai Guo
The Automatic Generation Control (AGC) system, reliant on real-time measurements over communication networks, is susceptible to stealthy false data injection attacks (FDIAs), riski…
Deceiving Flexibility: A Stealthy False Data Injection Model in Vehicle-to-Grid Coordination
Kaan T. Gun, Xiaozhe Wang, Danial Jafarigiv
Electric vehicles (EVs) in Vehicle-to-Grid (V2G) systems act as distributed energy resources that support grid stability. Centralized coordination such as the extended State Space…
Tempered Christoffel-Weighted Polynomial Chaos Expansion for Resilience-Oriented Uncertainty Quantification
Mahsa Ebadat-Parast, Xiaozhe Wang
Accurate and efficient uncertainty quantification is essential for resilience assessment of modern power systems under high impact and low probability disturbances. Data driven spa…
Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks
Sakirat Wolly, Xiaozhe Wang
An accurate distribution network model is crucial for monitoring, state estimation and energy management. However, existing data-driven methods often struggle with scalability or i…
Efficient Probabilistic Assessment of Power System Resilience Using the Polynomial Chaos Expansion Method with Enhanced Stability
Aidan Gerkis, Xiaozhe Wang
Increasing frequency and intensity of extreme weather events motivates the assessment of power system resilience. The random nature of power system failures during these events man…