Generalized contingency analysis based on graph theory and line outage distribution factor

MR Narimani, H Huang, A Umunnakwe… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Identifying the multiple critical components in power systems whose absence together has
severe impact on system performance is a crucial problem for power systems known as …

[HTML][HTML] The impact of heavy-duty vehicle electrification on large power grids: A synthetic Texas case study

R El Helou, S Sivaranjani, D Kalathil, A Schaper… - Advances in Applied …, 2022 - Elsevier
The electrification of heavy-duty vehicles (HDEVs) is a nascent and rapidly emerging
avenue for decarbonization of the transportation sector. In this paper, we examine the …

Toward efficient wide-area identification of multiple element contingencies in power systems

H Huang, Z Mao, MR Narimani… - 2021 IEEE Power & …, 2021 - ieeexplore.ieee.org
Power system Nx contingency analysis has inherent challenges due to its combinatorial
characteristic where outages grow exponentially with the increase of x and N. to address …

Synthetic PMU data creation based on generative adversarial network under time-varying load conditions

X Zheng, A Pinceti, L Sankar… - Journal of Modern Power …, 2022 - ieeexplore.ieee.org
In this study, a machine learning based method is proposed for creating synthetic eventful
phasor measurement unit (PMU) data under time-varying load conditions. The proposed …

Case study of enhancing the matpower polish electric grid

J Snodgrass, S Kunkolienkar, U Habiba… - 2022 IEEE Texas …, 2022 - ieeexplore.ieee.org
The MATPOWER Polish systems are several power system test cases that are created using
the real power system of Poland circa 2000. However, dynamic model parameters and …

Harmonized automatic relay mitigation of nefarious intentional events (harmonie)-special protection scheme (sps)

S Hossain-McKenzie, N Jacobs, A Summers… - 2022 - osti.gov
The harmonized automatic relay mitigation of nefarious intentional events (HARMONIE)
special protection scheme (SPS) was developed to provide adaptive, cyber-physical …

Deep reinforcement learning for electric transmission voltage control

BL Thayer, TJ Overbye - 2020 IEEE Electric Power and Energy …, 2020 - ieeexplore.ieee.org
Today, human operators primarily perform voltage control of the electric transmission
system. As the complexity of the grid increases, so does its operation, suggesting additional …

An extended model for ecological robustness to capture power system resilience

H Huang, KR Davis, HV Poor - 2023 IEEE Power & Energy …, 2023 - ieeexplore.ieee.org
The long-term resilient property of ecosystems has been quantified as ecological robustness
(R_ECO) in terms of the energy transfer over food webs. The R_ECO of resilient ecosystems …

Modeling and analysis of cascading failures in large-scale power grids

Y Liu, A Zhang, P Dehghanian, JK Jung… - 2022 IEEE Kansas …, 2022 - ieeexplore.ieee.org
This work presents results on the dynamic modeling and analysis of cascading failures in
large-scale electric grids. In this study, cascading outages are simulated using a 2000-bus …

PyAPI-RTS: A Python-API for RSCAD Modeling

M Weber, J Enzinger, HK Çakmak… - 2023 Open Source …, 2023 - ieeexplore.ieee.org
Detailed real-time simulation of power systems and components gains significant
importance due to the increasing share of renewable energy sources and inverter-based …