NetworkX – Network Analysis in Python

Re:NetworkX – Network Analysis in Python by ok_dad on Saturday December 09, 2023 @01:19AM (#38579166)

Interesting you should say that, as I am trying to start a project where I need to make an electric grid graph, but I am not sure where to find the node/edge data for substations and transmission lines that include their specs and capacities. Is that stuff open source somewhere, like with the ISOs, or do you need to build it from scratch?

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Re:NetworkX – Network Analysis in Python by gkoller on Saturday December 09, 2023 @01:54AM (#38579353)

Have a look at IEC CIM (Common Information Model)

  - https://en.m.wikipedia.org/wiki/Common_Information_Model_(electricity)
  - https://zepben.bitbucket.io/cim/cim100/
  - https://ontology.tno.nl/IEC_CIM/

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Re:NetworkX – Network Analysis in Python by ok_dad on Saturday December 09, 2023 @03:36AM (#38579927)

Thanks!

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Re:NetworkX – Network Analysis in Python by maliker on Saturday December 09, 2023 @06:49AM (#38581125)

That data is privately held by utilities, and the high voltage transmission infrastructure is highly confidential (CEII/NERC CIP). If you just need sample data, I'd recommend checking out the test data provided with power flow simulators like OpenDSS for distribution systems [1] or MATPOWER for generation + transmission [2]. The IEEE test systems are what are used in research, they have the component specs you're looking for, and are provided with those tools.

[1] https://sourceforge.net/projects/electricdss/ [2] https://matpower.org

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Re:NetworkX – Network Analysis in Python by rwlincoln on Saturday December 09, 2023 @09:20AM (#38582110)

MATPOWER and OpenDSS test cases are also available in CSV format:

https://github.com/casecsv

https://github.com/cktcsv

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Re:NetworkX – Network Analysis in Python by ok_dad on Saturday December 09, 2023 @02:04PM (#38584728)

Thanks to you and the next commenter up, these synthetic data sets are perfect for my current use case.

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