5 citations · 5 across the 7 of their papers we have counts for
7 papers
Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model
Yiping Liu, Xiaozhe Wang, Geza Joos
Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency reg…
On the Existence of Lagrange Multipliers in Distribution Network Reconfiguration Problems
Rong-Peng Liu, Yue Song, Xiaozhe Wang +1
Distribution network reconfiguration (DNR) is an effective approach for optimizing distribution network operation. However, the DNR problem is computationally challenging due to th…
Hidden Convexity-Based Distributed Operation of Integrated Electricity-Gas Systems
Rong-Peng Liu, Yue Song, Junhong Liu +3
We propose a hidden convexity-based method to address distributed optimal energy flow (OEF) problems for transmission-level integrated electricity-gas systems. First, we develop a…
Modeling Load Redistribution Attacks in Integrated Electricity-Gas Systems
Rong-Peng Liu, Xiaozhe Wang, Bo Zeng +1
We investigate load redistribution (LR) attacks on integrated electricity-gas systems (IEGSs) and proposes a bilevel mixed-integer model to identify the most severe LR attack from…
Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems
Rong-Peng Liu, Xiaozhe Wang, Zuyi Li +1
This work studies the modeling of false data injection attacks (FDIAs) in integrated electricity-gas systems (IEGSs). First, we introduce a static state estimation model and bad da…
A Comparative Study of Polynomial Chaos Expansion-Based Methods for Global Sensitivity Analysis in Power System Uncertainty Control
Xiaoting Wang, Rong-Peng Liu, Xiaozhe Wang +1
In this letter, we compare three polynomial chaos expansion (PCE)-based methods for ANCOVA (ANalysis of COVAriance) indices based global sensitivity analysis for correlated random…
A Data-Driven Uncertainty Quantification Method for Stochastic Economic Dispatch
Xiaoting Wang, Rong-Peng Liu, Xiaozhe Wang +2
This letter proposes a data-driven sparse polynomial chaos expansion-based surrogate model for the stochastic economic dispatch problem considering uncertainty from wind power. The…