This repository contains the restoration application for IEEE 9500-node model (https://github.com/GRIDAPPSD/Powergrid-Models/tree/develop/blazegraph/test/dss/WSU). The application is hosted on GridAPPS-D platform.
Please clone the repository https://github.com/GRIDAPPSD/gridappsd-docker (refered to as gridappsd-docker repository) next to this repository (they should both have the same parent folder)
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From the command line execute the following commands to build the wsu-restoration container
osboxes@osboxes> cd WSU-VVO-app osboxes@osboxes> docker build --network=host -t wsu-vvo-app .
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Add the following to the gridappsd-docker/docker-compose.yml file
wsu_vvo: image: wsu-vvo-app depends_on: gridappsd
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Run the docker application
osboxes@osboxes> cd gridappsd-docker osboxes@osboxes> ./run.sh # you will now be inside the container, the following starts gridappsd gridappsd@f4ede7dacb7d:/gridappsd$ ./run-gridappsd.sh
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Run the application container
osboxes@osboxes> cd WSU-VVO-app osboxes@osboxes> docker exec -it gridappsddocker_wsu_vvo_1 bash # you will now be inside the application container, the following runs the application from terminal root@1b762c641f24:/usr/src/gridappsd-vvo# cd wsu_vvo root@1b762c641f24:/usr/src/gridappsd-vvo/wsu_vvo# python main.py 1234 '{"power_system_config": {"Line_name":"_AAE94E4A-2465-6F5E-37B1-3E72183A4E44"}}'
Next to start the application through the viz follow the directions here: https://gridappsd.readthedocs.io/en/latest/using_gridappsd/index.html#start-gridapps-d-platform
In the optimization problem, test feeders are modeled as graph; G (V, E), where V is set of nodes and E is set of edges. The graph and line parameters of the test feeder can be extracted from (https://github.com/shpoudel/D-Net).
First, the real time topology of the test case is extracted from the operating feeder in platform (top_identify.py). Then, load data for each node is obtained (get_Load.py) and stored in json format to be used in linear power flow while writing constraints for optimization problem.