py1phipll

Python implementation of single-phase PLLs

https://github.com/cleitoncmf/py1phipll

Science Score: 44.0%

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    Low similarity (5.4%) to scientific vocabulary
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Repository

Python implementation of single-phase PLLs

Basic Info
  • Host: GitHub
  • Owner: cleitoncmf
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 2.82 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

py1phiPLL - Pacote para simulação de PLLs monofásicos em Python

Overview


This repository contains a Python package for simulating traditional single-phase PLLs and ter building structures. More specifically, the package encompasses simulation models for:

  • EPLL (Enhanced PLL)
  • SOGI-FLL (frequency tracker based on SOGI)
  • SOGI-SRF (Single-Phase Synchronous Reference Frame PLL using Second-Order Generalized Integrator)
  • APF-SRF (Single-Phase Synchronous Reference Frame PLL using All-Pass Filter)

Install


The built version of the package is within the folder dist. It could be installed using pip in the command prompt of windows as follows:

pip install py1phiPLL-1.0.0.tar.gz

Example


Owner

  • Name: Cleiton M. Freitas
  • Login: cleitoncmf
  • Kind: user
  • Location: Rio de Janeiro
  • Company: Rio de Janeiro State University

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Freitas
    given-names: Cleiton
    orcid: https://orcid.org/0000-0002-6300-0521
title: "Python Package for simulating single-phase PLLs"
abstract: This package implements several single-phase PLLs so that they can be simulated using python integrators.
version: 1.0.0
doi: 
date-released: "2022-14-04"
repository-code: https://github.com/cleitoncmf/py1phiPLL
contact:
  - affiliation: Rio de Janeiro State University
    email: cleiton.freitas@uerj.br
    family-names: Freitas
    given-names: Cleiton
type: software
year: 2022

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Dependencies

requirements.txt pypi
  • numpy *
pyproject.toml pypi