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Submission for AMS #174
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Editor in Chief checksHi there! Thank you for submitting your package for pyOpenSci review. Below are the basic checks that your package needs to pass to begin our review. If some of these are missing, we will ask you to work on them before the review process begins. Please check our Python packaging guide for more information on the elements below.
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Hi @Batalex, Thanks for your response.
We run into it before and have addressed it, CURENT/andes#508 Another possible solution is to add the used environment to path: export PATH="/path/to/conda/envs/ams/bin:$PATH" |
Hey there @jinningwang! @NimaSarajpoor will take over this submission, and will most likely handle ANDES after that. |
Editor response to review:Editor comments👋 Hi (reviewer1 @Alizak-Mech and reviewer2 @AlirezaAlamgir) and reviewer3 @Kawians. Thank you for volunteering to review for pyOpenSci! [Note] Reviewer 1 and 2 (@Alizak-Mech and @AlirezaAlamgir) will collaborate together and submit one review from their side. Please fill out our pre-review surveyBefore beginning your review, please fill out our pre-review survey. This helps us improve all aspects of our review and better understand our community. No personal data will be shared from this survey - it will only be used in an aggregated format by our Executive Director to improve our processes and programs.
The following resources will help you complete your review:
Please get in touch with any questions or concerns! Your review is due:Reviewers: @Alizak-Mech @AlirezaAlamgir @Kawians [Note] deadline extension |
@jinningwang I was wondering if you are okay with that? |
Yes, it works for me. Thanks for your efforts, especially considering it is a small crowded domain-software. |
Top comment and Editor's Response are updated. |
@Alizak-Mech @AlirezaAlamgir @Kawians |
Submitting Author: Jinning Wang (@jinningwang)
All current maintainers: @jinningwang
Package Name: AMS
One-Line Description of Package: Power system dispatch modeling and dispatch-dynamic co-simulation.
Repository Link: https://github.com/CURENT/ams
Version submitted: v0.9.6
EIC: @Batalex
Editor: @NimaSarajpoor
Reviewer 1: Alireza Gholamzadeh Khoee @Alizak-Mech
Reviewer 2: Alireza Alamgir Tehrani @AlirezaAlamgir
Reviewer 3: Kavian Mashayekhi @Kawians
Archive: TBD
JOSS DOI: TBD
Version accepted: TBD
Date accepted (month/day/year): TBD
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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For all submissions, explain how the and why the package falls under the categories you indicated above. In your explanation, please address the following points (briefly, 1-2 sentences for each):
Who is the target audience and what are scientific applications of this package?
Power system researchers and engineers.
Power system steady state modeling and analysis.
Are there other Python packages that accomplish the same thing? 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.
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@Batalex
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