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Submission for ANDES
Submitting Author: Jinning Wang (@jinningwang)
All current maintainers: Hantao Cui (@cuihantao), Jinning Wang (@jinningwang )
Package Name: ANDES
One-Line Description of Package: Power system transient dynamics simulation with symbolic modeling and numerical analysis
Repository Link: https://github.com/CURENT/andes
Version submitted: v1.9.1
Editor: TBD
Reviewer 1: TBD
Reviewer 2: TBD
Archive: TBD
JOSS DOI: TBD
Version accepted: TBD
Date accepted (month/day/year): TBD
Code of Conduct & Commitment to Maintain Package
- [x] I agree to abide by pyOpenSci's Code of Conduct during the review process and in maintaining my package after should it be accepted.
- [x] I have read and will commit to package maintenance after the review as per the pyOpenSci Policies Guidelines.
Description
- Include a brief paragraph describing what your package does: ANDES is an open-source Python library for power system modeling, computation, analysis, and control, serving as the core simulation engine for the CURENT Large scale Testbed (LTB). It supports power flow calculation, transient stability simulation, and small-signal stability analysis for transmission systems. ANDES implements a symbolic-numeric framework for rapid prototyping of differential-algebraic equation-based models.
Scope
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Please indicate which category or categories. Check out our package scope page to learn more about our scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):
- [ ] Data retrieval
- [ ] Data extraction
- [x] Data processing/munging
- [ ] Data deposition
- [ ] Data validation and testing
- [ ] Data visualization[^1]
- [ ] Workflow automation
- [ ] Citation management and bibliometrics
- [ ] Scientific software wrappers
- [ ] Database interoperability
Domain Specific
- [ ] Geospatial
- [ ] Education
Community Partnerships
If your package is associated with an existing community please check below:
- [ ] Astropy:My package adheres to Astropy community standards
- [ ] Pangeo: My package adheres to the Pangeo standards listed in the pyOpenSci peer review guidebook
[^1]: Please fill out a pre-submission inquiry before submitting a data visualization package.
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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):
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Who is the target audience and what are scientific applications of this package?
Power system researchers and engineers. Power system transient stability modeling and analysis. -
Are there other Python packages that accomplish the same thing? If so, how does yours differ? To the best of my knowledge, ANDES is the only python package, for power system transient stability modeling and simulation, with the proposed hybrid symbolic-numeric method.
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If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or
@tagthe editor you contacted:
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Technical checks
For details about the pyOpenSci packaging requirements, see our packaging guide. Confirm each of the following by checking the box. This package:
- [x] does not violate the Terms of Service of any service it interacts with.
- [x] uses an OSI approved license.
- [x] contains a README with instructions for installing the development version.
- [x] includes documentation with examples for all functions.
- [x] contains a tutorial with examples of its essential functions and uses.
- [x] has a test suite.
- [x] has continuous integration setup, such as GitHub Actions CircleCI, and/or others.
Publication Options
- [ ] Do you wish to automatically submit to the Journal of Open Source Software? If so:
JOSS Checks
- [ ] The package has an obvious research application according to JOSS's definition in their submission requirements. Be aware that completing the pyOpenSci review process does not guarantee acceptance to JOSS. Be sure to read their submission requirements (linked above) if you are interested in submitting to JOSS.
- [ ] The package is not a "minor utility" as defined by JOSS's submission requirements: "Minor ‘utility’ packages, including ‘thin’ API clients, are not acceptable." pyOpenSci welcomes these packages under "Data Retrieval", but JOSS has slightly different criteria.
- [ ] The package contains a
paper.mdmatching JOSS's requirements with a high-level description in the package root or ininst/. - [ ] The package is deposited in a long-term repository with the DOI:
Note: JOSS accepts our review as theirs. You will NOT need to go through another full review. JOSS will only review your paper.md file. Be sure to link to this pyOpenSci issue when a JOSS issue is opened for your package. Also be sure to tell the JOSS editor that this is a pyOpenSci reviewed package once you reach this step.
Are you OK with Reviewers Submitting Issues and/or pull requests to your Repo Directly?
This option will allow reviewers to open smaller issues that can then be linked to PR's rather than submitting a more dense text based review. It will also allow you to demonstrate addressing the issue via PR links.
- [x] Yes I am OK with reviewers submitting requested changes as issues to my repo. Reviewers will then link to the issues in their submitted review.
Confirm each of the following by checking the box.
- [x] I have read the author guide.
- [x] I expect to maintain this package for at least 2 years and can help find a replacement for the maintainer (team) if needed.
Please fill out our survey
- [x] Last but not least please fill out our pre-review survey. This helps us track submission and improve our peer review process. We will also ask our reviewers and editors to fill this out.
P.S. Have feedback/comments about our review process? Leave a comment here
Editor and Review Templates
Hey, Thank you for your trust in our process by submitting your second package to pyOpenSci. I want to put this submission on hold for now while the first one is ongoing. This will enable us to manage most effectively our volunteers' time, and it could be a could opportunity to keep the first team around for this submission.
Please let me know if this arrangement works for you.
Thanks for your response. Yes, I totally agree with this arrangement.
Hello @jinningwang , I'm Chiara and I'm taking care of the EIC role for the next three months. I'm just cross-linking here #174, for future reference.