Description
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.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| gadal_123_v4.tar.gz | G-Zipped | Docker image for the PNNL's DSSE to be used for the demo of OEDI platform. See accompanying ReadMe's for metadata and instructions. | Open resource |
| Plots.ipynb | Python | Jupyter notebook file accompanying the other code. | Open resource |
| ReadMe_metadata.txt | Text | Metadata for docker image | Open resource |
| ReadMe_docker_image_v1.txt | Text | Outdated instructions for running the PNNL DSSE docker image. This document is superseded by v2. | Open resource |
| ReadMe_docker_image_v2.txt | Text | Updated instructions for running the PNNL DSSE docker image. | Open resource |
| OEDI-SI Use Case | HTML | Additional instructions for running the PNNL DSSE docker image. | Open resource |
| OEDI-SI_Use_Case_1 | HTML | Additional instructions for running the PNNL DSSE docker image. | Open resource |