7 papers
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…
A Data-Driven Method for Microgrid System Identification: Physically Consistent Sparse Identification of Nonlinear Dynamics
Mohan Du, Xiaozhe Wang
Microgrids (MGs) play a crucial role in utilizing distributed energy resources (DERs) like solar and wind power, enhancing the sustainability and flexibility of modern power system…
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…