Closed jinningwang closed 5 months ago
Hello there! Thank you so much for this submission, it’s obvious there has been a lot of work put into AMS! I’ve taken a look at AMS, and think it would be in scope, but have a few thoughts. I think the best category for this would be data munging:
Data munging tools transform data in a way that makes further analysis possible (as defined on Wikipedia). [...] This category focuses on tools for handling data in specific formats that scientists may be interested in working with.
My impression is that power system researchers can use AMS to read in files and solve/update simulations, and load models to ANDES.
Are you able able to give some feedback on what you think of this category, that I have understood this package's functionality?
@isabelizimm Thanks for your response!
Your impression to AMS is mostly correct and let me further clarify it.
My impression is that power system researchers can use AMS to read in files and solve/update simulations,
Yes.
and load models to ANDES.
I'm not sure if I understand this correctly. I would say AMS can convert AMS case file to ANDES case file, and thus ANDES is capable of another type of power system simulation.
Overall, I feel it's reasonable to classify AMS to scope Data processing/munging.
Additionally, in the future, is it helpful to have a Domain Specific "power system analysis"? I notice that there are more and more open-source tools developed for power system researchers.
Is there anything else I can help? Maybe, should I open another submission issue for AMS?
Hi @jinningwang, thank you for your patience. I think AMS is in scope for us. Would you mind opening a new issue referencing this pre-submission inquiry? Thank you.
No problem. I'll do it recently. Thanks again for all yours help!
Superseded by #174
Submitting Author: Jinning Wang (@jinningwang)
Package Name: AMS One-Line Description of Package: Power system dispatch modeling and dispatch-dynamic co-simulation. Repository Link (if existing): https://github.com/CURENT/ams
Code of Conduct & Commitment to Maintain Package
Description
As part of CURENT Large-scale Testbed platform, AMS serves as power system production cost modeling. Our framework offers a modularized approach that seamlessly incorporates dynamics, enhancing traditional dispatch modeling methods. We create a versatile solution that bridges the gap between device-level and system-level models. The tool is developed to be extensible, scalable, compatible, and interoperable.
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Who is the target audience and what are the scientific applications of this package?
Power system researchers and engineers.
Are there other Python packages that accomplish similar things? If so, how does yours differ? There are some Python packages cover part of our functions: PYPOWER, pandapower, and PyPSA. Compared to existing tools that focus on fixed power system optimization problems, our package AMS enables customizing formulations thus enable rapid prototyping for renewables integration. Additionally, with the built-in interface with dynamic simulator ANDES, AMS allows native interoperation between dynamics and dispatch, which significantly relieves the researchers manual efforts when conducting power system simulations.
Any other questions or issues we should be aware of: I also curate a list that collects open-source libraries for power system analysis, https://github.com/jinningwang/best-of-ps
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