Dynamic Temporal Graph Sequence Data for Resilience-Oriented Distribution Network Reconfiguration
- Liu, Boming | Oak Ridge National Laboratory
- Eiffert, Brett | Oak Ridge National Laboratory
- Zhang, Chen | Oak Ridge National Laboratory
- Dong, Jin | Oak Ridge National Laboratory
Overview
Description
This dataset comprises temporal dynamic graph sequences generated from power grid simulations focused on grid reconfiguration to enhance resilience. The simulations model failure propagation under varying conditions, with nodes assigned distinct failure probabilities. For each time step, the dataset captures the evolution of node states (functional or failed) and features critical to grid operations, such as pv_output, load_profile, load_dispatch, dg_output, loss, and voltage. Node types include sources, normal loads, and nodes with specific equipment like PVs, micro turbines, or shunt capacitors. The dataset is structured to support the training of dynamic graph neural networks, facilitating research on node feature prediction and edge dynamics under failure scenarios. Three distinct configurations are included, providing a robust foundation for modeling power grid resilience.
Funding resources
DOE contract number
DE-AC05-00OR22725Originating research organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring organization
USDOE; ORNL Laboratory Directed Research and Development (LDRD)Details
DOI
10.13139/OLCF/2437680Release date
September 26, 2024Dataset
Dataset type
ND Numeric DataSoftware
HDF5 and Parquet readers needed for reading the data. DGL and PyTorch are recommended for training.Acknowledgements
Papers using this dataset are requested to include the following text in their acknowledgements:
*Support for 10.13139/OLCF/2437680 is provided by the U.S. Department of Energy, project CADES under Contract DE-AC05-00OR22725. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.
Category
- 29 ENERGY PLANNING, POLICY, AND ECONOMY
Keywords
- dynamic graph,
- network reconfiguration,
- power systems,
- resilience