Power flow convergence and reactive power planning in the creation of large synthetic grids

AB Birchfield, T Xu, TJ Overbye - IEEE Transactions on Power …, 2018 - ieeexplore.ieee.org
To encourage and support innovation, synthetic electric grids are fictional, designed systems
that mimic the complexity of actual electric grids but contain no confidential information …

Spatio-temporal deep learning-assisted reduced security-constrained unit commitment

AV Ramesh, X Li - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
Security-constrained unit commitment (SCUC) is a computationally complex process utilized
in power system day-ahead scheduling and market clearing. SCUC is run daily and requires …

Modeling, tuning, and validating system dynamics in synthetic electric grids

T Xu, AB Birchfield, TJ Overbye - IEEE Transactions on Power …, 2018 - ieeexplore.ieee.org
A synthetic network modeling methodology has been developed to generate completely
fictitious power system models with capability to represent characteristic features of actual …

Feasibility layer aided machine learning approach for day-ahead operations

AV Ramesh, X Li - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
Day-ahead operation involves a complex and computationally intensive optimization
process to determine the generator commitment schedule and dispatch. The optimization …

Deep sigma point processes-assisted chance-constrained power system transient stability preventive control

T Su, J Zhao, X Chen - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
This paper proposes a deep sigma point processes (DSPP)-assisted chance-constrained
power system transient stability preventive control method to deal with uncertain renewable …

Learning without data: Physics-informed neural networks for fast time-domain simulation

J Stiasny, S Chevalier… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
In order to drastically reduce the heavy computational burden associated with time-domain
simulations, this paper introduces a Physics-Informed Neural Network (PINN) to directly …

Stability implications of bulk power networks with large scale PVs

DS Kumar, A Sharma, D Srinivasan, T Reindl - Energy, 2019 - Elsevier
With the shift in renewable portfolio standards, conventional fossil-fuel based generators are
expected to be partially or fully replaced with renewable energy sources such as …

Educational applications of large synthetic power grids

AB Birchfield, TJ Overbye… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper describes the use of large electric grids in university electric power system
courses. Since much actual power system information is not publicly available, the …

[HTML][HTML] A framework for synthetic power system dynamics

A Büttner, A Plietzsch, M Anvari… - … Interdisciplinary Journal of …, 2023 - pubs.aip.org
We present a modular framework for generating synthetic power grids that consider the
heterogeneity of real power grid dynamics but remain simple and tractable. This enables the …

Equitably allocating wildfire resilience investments for power grids: The curse of aggregation and vulnerability indices

M Pollack, R Piansky, S Gupta, A Kody… - arxiv preprint arxiv …, 2024 - arxiv.org
Social vulnerability indices have increased traction for guiding infrastructure investment
decisions to prioritize communities that need these investments most. One such plan is the …