Powersense
Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.2%) to scientific vocabulary
Keywords
Repository
Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.
Basic Info
- Host: GitHub
- Owner: PowerSense
- License: mit
- Language: Julia
- Default Branch: master
- Homepage: https://www.powersense.io/
- Size: 379 KB
Statistics
- Stars: 7
- Watchers: 3
- Forks: 0
- Open Issues: 2
- Releases: 5
Topics
Metadata Files
README.md
Powersense.jl
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The package has the following features implemented and ready to use.
OPT: The nonlinear programming optimization component implements sequential linear programming method for continuous nonlinear optimization. The package currently implements a line search algorithm.OPF: The AC optimal power flow (AC-OPF) component implements 7 different AC-OPF formulations. These formulations have different sparsities and are a combination of varieties of different approaches of modeling voltages, admittance matrix, and branch flows. The formulations can be solved using theOPTfeature of thePowersense.jlor using an external NLP solver.
Installation
julia
import Pkg
Pkg.add("Powersense")
NLP Solver Example
Consider the following quadratic optimization problem
julia
min x^2 + x
s.t. x^2 - x = 2
This problem can be solved by the following code snippet: ```julia
Load packages
using Powersense, JuMP using GLPK # can be any LP solver
Number of variables
n = 1
Build nonlinear problem model via JuMP
model = Model(optimizerwithattributes(Powersense.Optimizer, "external_optimizer" => GLPK.Optimizer)) @variable(model, x) @objective(model, Min, x^2 + x) @NLconstraint(model, x^2 - x == 2)
Solve optimization problem with Nlopt
JuMP.optimize!(model)
Retrieve solution
Xsol = JuMP.value.(X) ```
OPF formulations Example
Consider solving PNPAPVmodel ACOPF formulations. This can be solved using the following code snippet: ```julia
Load packages
using Powersense, Ipopt
Build Powersense Data model. Path is the address where PSSE or MATPOWER files are located.
Data = create_PowersenseData(path)
runopf!(Data, solver = Ipopt.Optimizer, objtype = :linear, formulation = PNPAPVmodel); ```
Acknowledgements
The package is part of the PowerSense Lab which is owned and maintained by Sayed Abdullah Sadat.
Owner
- Name: PowerSENSE
- Login: PowerSense
- Kind: organization
- Email: info@Powersense.io
- Website: https://www.powersense.io/
- Twitter: PowerSenseLab
- Repositories: 2
- Profile: https://github.com/PowerSense
Tool Development at the Cross-Section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning
Citation (CITATION.cff)
# YAML 1.2
---
authors:
-
affiliation: "University of Utah"
family-names: Sadat
given-names: "Sayed Abdullah"
orcid: "https://orcid.org/0000-0001-8290-6065"
cff-version: "1.1.0"
keywords:
- "nonlinear programming"
- "power system operations"
- "optimal power flow"
- optimization
message: "If you use this package, please cite it using this metadata."
repository-code: "https://github.com/PowerSense/Powersense.jl"
title: "Powersense.jl"
...
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Sayed A. Sadat | e****l@S****m | 54 |
| Sayed Sadat | s****y@g****m | 41 |
| Sayed Sadat | 2****t | 8 |
| CompatHelper Julia | c****y@j****g | 6 |
| Sayed Sadat | e****l@s****m | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 16
- Total pull requests: 19
- Average time to close issues: 10 days
- Average time to close pull requests: 7 days
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.25
- Average comments per pull request: 0.42
- Merged pull requests: 17
- Bot issues: 0
- Bot pull requests: 7
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ssadat (15)
- JuliaTagBot (1)
Pull Request Authors
- ssadat (12)
- github-actions[bot] (7)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
juliahub.com: Powersense
Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.
- Homepage: https://www.powersense.io/
- Documentation: https://docs.juliahub.com/General/Powersense/stable/
- License: MIT
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Latest release: 0.0.5
published about 4 years ago