Skip to main content

TrafoCalc

Build codecov Language grade: Python Total alerts Code style: black

Goal of the Project

Design and Optimization of a power transformer needs to handle and calculate many required technical parameters simoultanously, while the econoimically or technically optimal design was searched. This python package contains the implementations of many analytical functions, which can be used to calculate the geometrical, electrical, mechanical or thermal properties of three-phased power transformers.

The tool uses the implementation of a simple two-winding model calculations for the calculation of the transformer parameters. Beside the analytical formulas, this project contains a 2D axisymmetric, parametric FEM simulation for calculation of the short circuit impedance of a power transformer. The proposed methodology can be useful to understand the principles of transformer design, or transformer professionals. Because, all of the proposed calculations validated by measurements.

Quickstart

The \notes library contains many sample designs in jupyter notebooks, which can be a good starting point to use this package.

References

[1] Orosz, T., Borbély, B., Tamus, Z. Ádám Performance Comparison of Multi Design Method and Meta-Heuristic Methods for Optimal Preliminary Design of Core-Form Power Transformers , Periodica Polytechnica Electrical Engineering and Computer Science, 61(1), pp. 69–76, 2017. https://doi.org/10.3311/PPee.10207

Metadata

Release files for trafocalc 2022.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for trafocalc 2022.1.1
File Size Uploaded Provenance Actions
TrafoCalc-2022.1.1.tar.gz 17.9 kB Without provenance Details for TrafoCalc-2022.1.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for trafocalc 2022.1.1
File Interpreter ABI Platform Actions
TrafoCalc-2022.1.1-py3-none-any.whl Python 3 none any Details for TrafoCalc-2022.1.1-py3-none-any.whl

Total release size: 36.7 kB

Release files / TrafoCalc-2022.1.1.tar.gz

Download URL TrafoCalc-2022.1.1.tar.gz
Size 17.9 kB
Tags Source
SHA-256 checksum
How to use checksums
ae96ab8c241c158aa369573e1bf41d9b33838e088622ffdd3c627cbc8c4fdd9e
BLAKE2b-256 checksum
How to use checksums
12ce181462ef9032f6a18048a8b4b8cb0fab45aa00edfd471954e57dd82b2074
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.12 CPython/3.8.10 Linux/5.13.0-35-generic

Release files / TrafoCalc-2022.1.1-py3-none-any.whl

Download URL TrafoCalc-2022.1.1-py3-none-any.whl
Size 18.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e83554e510d02acb8b5fd490683ae2517d1feb497d2ea090ead95f8654c9bbdc
BLAKE2b-256 checksum
How to use checksums
bd51df67c4051efe1538b24bc3607bfc4dad28c3d790d2502c94458195fb9aea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.12 CPython/3.8.10 Linux/5.13.0-35-generic

Security for trafocalc 2022.1.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

2022.1.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page