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PNNL Distribution System State Estimator Docker Image

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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 -
Export Citation to RIS
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: 2025-04-24}, 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

Bilal Bhatti

Pacific Northwest National Laboratory

Gary Black

Pacific Northwest National Laboratory

Andrew Reiman

Pacific Northwest National Laboratory

DOE Project Details

Project Name Open Energy Data Initiative (OEDI)

Project Number 38411

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