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20172026
most citedOnline PMU-Based Wide-Area Damping Control for Multiple Inter-Area Modes

55 citations · 216 across the 18 of their papers we have counts for

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12 papers · 1 filter

eess.SY2026

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.…

eess.SY20231 cited

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…

eess.SY2021

Targeted False Data Injection Attacks Against AC State Estimation Without Network Parameters

Mingqiu Du, Georgia Pierrou, Xiaozhe Wang +1

State estimation is a data processing algorithm for converting redundant meter measurements and other information into an estimate of the state of a power system. Relying heavily o…

eess.SY202140 cited

Wide-Area Damping Control for Interarea Oscillations in Power Grids Based on PMU Measurements

Ilias Zenelis, Xiaozhe Wang

In this paper, a phasor measurement unit (PMU)-based wide-area damping control method is proposed to damp the interarea oscillations that threaten the modern power system stability…

eess.SY2021

Targeted False Data Injection Attack against DC State Estimation without Line Parameters

Mingqiu Du, Georgia Pierrou, Xiaozhe Wang

A novel false data injection attack (FDIA) model against DC state estimation is proposed, which requires no network parameters and exploits only limited phasor measurement unit (PM…

eess.SY2021

A Data-Driven Energy Storage System-Based Algorithm for Monitoring the Small-Signal Stability of Power Grids with Volatile Wind Power

Ilias Zenelis, Georgia Pierrou, Xiaozhe Wang

In this paper, we propose a data-driven energy storage system (ESS)-based method to enhance the online small-signal stability monitoring of power networks with high penetration of…