76 citations · 490 across the 39 of their papers we have counts for
39 papers
A Bayesian Adaptive Spectral Surrogate Model for Efficient Probabilistic Optimal Power Flow Evaluation
Xiaoting Wang, Xiaozhe Wang, Gregory Kish +2
This paper presents an adaptive stochastic spectral embedding (ASSE) method to solve the probabilistic AC optimal power flow (AC-OPF), a critical aspect of power system operation.…
Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
Rong-Peng Liu, Yunhe Hou, Yujia Li +3
This paper adopts a two-stage sample robust optimization (SRO) model to address the wind power penetrated unit commitment optimal energy flow (UC-OEF) problem for IEGSs. The two-st…
On Data-Driven Modeling and Control in Modern Power Grids Stability: Survey and Perspective
Xun Gong, Xiaozhe Wang, Bo Cao
Modern power grids are fast evolving with the increasing volatile renewable generation, distributed energy resources (DERs) and time-varying operating conditions. The DERs include…
A Data-Driven Polynomial Chaos Expansion-Based Method for Microgrid Ramping Support Capability Assessment and Enhancement
Mohan Du, Xiaozhe Wang
Microgrids (MGs) are regarded as effective solutions to provide ramping support to the main grid during heavy-load periods. Nevertheless, the uncertain renewable energy sources (RE…
A Novel Koopman-Inspired Method for the Secondary Control of Microgrids with Grid-Forming and Grid-Following Sources
Xun Gong, Xiaozhe Wang
This paper proposes an online data-driven Koopman-inspired identification and control method for microgrid secondary voltage and frequency control. Unlike typical data-driven metho…
An Online Data-Driven Method to Locate Forced Oscillation Sources from Power Plants Based on Sparse Identification of Nonlinear Dynamics (SINDy)
Yaojie Cai, Xiaozhe Wang, Geza Joos +1
Forced oscillations may jeopardize the secure operation of power systems. To mitigate forced oscillations, locating the sources is critical. In this paper, leveraging on Sparse Ide…