Benchmark of machine learning algorithms on transient stability prediction in renewable rich power grids under cyber-attacks
K Aygul, M Mohammadpourfard, M Kesici… - Internet of Things, 2024 - Elsevier
This study addresses the problem of ensuring accurate online transient stability prediction in
modern power systems that are increasingly dependent on smart grid technology and are …
modern power systems that are increasingly dependent on smart grid technology and are …
An online data-driven method to locate forced oscillation sources from power plants based on sparse identification of nonlinear dynamics (SINDy)
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 …
forced oscillations, locating the sources is critical. In this paper, leveraging on Sparse …
Paraemt: An open source, parallelizable, and hpc-compatible emt simulator for large-scale ibr-rich power grids
The electromagnetic transient (EMT) simulation is an essential tool for studying power grids
dominated by inverter-based resources (IBRs). However, due to small simulation time steps …
dominated by inverter-based resources (IBRs). However, due to small simulation time steps …
Transformer-based deep learning model for forced oscillation localization
Abstract Accurately locating Forced Oscillations (FOs) source (s) in a large-scale power
system is a challenging task, and an important aspect of power system operation. In this …
system is a challenging task, and an important aspect of power system operation. In this …
Voltage stability constrained moving target defense against net load redistribution attacks
Moving target defense (MTD) using distributed flexible AC transmission system (D-FACTS)
devices is a promising defense strategy to detect stealthy false data injection (FDI) attacks …
devices is a promising defense strategy to detect stealthy false data injection (FDI) attacks …
Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources
Large‐scale power systems exhibit more complex dynamics due to the increasing
integration of inverter‐based resources (IBRs). Therefore, there is an urgent need to …
integration of inverter‐based resources (IBRs). Therefore, there is an urgent need to …
Dynamic locational marginal emissions via implicit differentiation
LF Valenzuela, A Degleris, A El Gamal… - … on Power Systems, 2023 - ieeexplore.ieee.org
Locational marginal emissions rates (LMEs) estimate the rate of change in emissions due to
a small change in demand in a transmission network, and are an important metric for …
a small change in demand in a transmission network, and are an important metric for …
PowerSimulationsDynamics. jl--An Open Source Modeling Package for Modern Power Systems with Inverter-Based Resources
The inclusion of inverter-based resources from renewable energy creates new challenges
for the stability and transient behavior of power systems which are best understood by …
for the stability and transient behavior of power systems which are best understood by …
Parallel computing for power system climate resiliency: Solving a large-scale stochastic capacity expansion problem with mpi-sppy
TV Zuluaga, A Musselman, JP Watson… - Electric Power Systems …, 2024 - Elsevier
We propose a nodal stochastic generation and transmission expansion planning model that
incorporates the output from high-resolution global climate models through load and …
incorporates the output from high-resolution global climate models through load and …
Secondary frequency regulation from variable generation through uncertainty decomposition: An economic and reliability perspective
The rapid integration of variable generation (VG), such as photovoltaics (PV), necessitates
an increase in the secondary frequency regulation (SFR) to handle the system intra-dispatch …
an increase in the secondary frequency regulation (SFR) to handle the system intra-dispatch …