PNNL Distribution System State Estimator Docker Image
This is the docker image for Pacific Northwest National Laboratory's (PNNL) distribution system state estimator (DSSE) used for the demo of OEDI-SI platform. To support the operation of modern distribution systems, operators require real-time visibility into system states. Due to a lack of measurements and unbalanced operation, the state estimation in distribution systems is challenging. This submission is related to an OEDI-SI use case which demonstrates the application of an extended Kalman filter-based state estimator on an IEEE-123 bus system. The state estimator uses the measurements to generate voltage estimates for the system.
Citation Formats
TY - DATA
AB - This is the docker image for Pacific Northwest National Laboratory's (PNNL) distribution system state estimator (DSSE) used for the demo of OEDI-SI platform. To support the operation of modern distribution systems, operators require real-time visibility into system states. Due to a lack of measurements and unbalanced operation, the state estimation in distribution systems is challenging. This submission is related to an OEDI-SI use case which demonstrates the application of an extended Kalman filter-based state estimator on an IEEE-123 bus system. The state estimator uses the measurements to generate voltage estimates for the system.
AU - Bhatti, Bilal
A2 - Black, Gary
A3 - Reiman, Andrew
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1992365
KW - energy
KW - power
KW - state estimator
KW - distribution system state estimator
KW - Kalman filter
KW - power flow
KW - distribution system
KW - grid
KW - HELICS
KW - IEEE-123 bus
KW - docker program
KW - simulation
KW - oedi-si
KW - PNNL
KW - DSSE
LA - English
DA - 2023/07/10
PY - 2023
PB - Pacific Northwest National Laboratory
T1 - PNNL Distribution System State Estimator Docker Image
UR - https://doi.org/10.25984/1992365
ER -
Bhatti, Bilal, et al. PNNL Distribution System State Estimator Docker Image. Pacific Northwest National Laboratory, 10 July, 2023, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1992365.
Bhatti, B., Black, G., & Reiman, A. (2023). PNNL Distribution System State Estimator Docker Image. [Data set]. Open Energy Data Initiative (OEDI). Pacific Northwest National Laboratory. https://doi.org/10.25984/1992365
Bhatti, Bilal, Gary Black, and Andrew Reiman. PNNL Distribution System State Estimator Docker Image. Pacific Northwest National Laboratory, July, 10, 2023. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1992365
@misc{OEDI_Dataset_5915,
title = {PNNL Distribution System State Estimator Docker Image},
author = {Bhatti, Bilal and Black, Gary and Reiman, Andrew},
abstractNote = {This is the docker image for Pacific Northwest National Laboratory's (PNNL) distribution system state estimator (DSSE) used for the demo of OEDI-SI platform. To support the operation of modern distribution systems, operators require real-time visibility into system states. Due to a lack of measurements and unbalanced operation, the state estimation in distribution systems is challenging. This submission is related to an OEDI-SI use case which demonstrates the application of an extended Kalman filter-based state estimator on an IEEE-123 bus system. The state estimator uses the measurements to generate voltage estimates for the system.},
url = {https://data.openei.org/submissions/5915},
year = {2023},
howpublished = {Open Energy Data Initiative (OEDI), Pacific Northwest National Laboratory, https://doi.org/10.25984/1992365},
note = {Accessed: 2025-04-25},
doi = {10.25984/1992365}
}
https://dx.doi.org/10.25984/1992365
Details
Data from Jul 10, 2023
Last updated Jun 14, 2024
Submitted Jul 10, 2023
Organization
Pacific Northwest National Laboratory
Contact
Bilal Bhatti
571.778.8041
Authors
Research Areas
Keywords
energy, power, state estimator, distribution system state estimator, Kalman filter, power flow, distribution system, grid, HELICS, IEEE-123 bus, docker program, simulation, oedi-si, PNNL, DSSEDOE Project Details
Project Name Open Energy Data Initiative (OEDI)
Project Number 38411
