Metadata-Version: 2.1
Name: pySEP
Version: 1.0.3
Summary: Pacote Open Source desenvolvido no Brasil para modelar e simular Sistemas Elétricos de Potência. Open Source Package developed in Brazil to model and simulate Electric Power Systems
Home-page: https://github.com/mrcsantos1/pySEP
Author: Marcos Alves dos Santos
Author-email: mrcsantos1@outlook.com
License: Apache License
Project-URL: Source Code, https://github.com/mrcsantos1/pySEP
Project-URL: Download, https://github.com/mrcsantos1/pySEP/archive/master.zip
Description: # pySEP
        
        ![PyPI](https://img.shields.io/pypi/v/pySEP?style=plastic&logo=PyPi) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pySEP?color=black&logo=python&logoColor=white&style=plastic) ![PyPI - License](https://img.shields.io/pypi/l/pySEP?color=red&style=plastic&logo=apache)  ![PyPI - Status](https://img.shields.io/pypi/status/pySEP?style=plastic) ![PyPI - Downloads](https://img.shields.io/pypi/dd/pySEP?color=blue&style=plastic) ![GitHub followers](https://img.shields.io/github/followers/mrcsantos1?label=Siga-me&logo=github&style=social) 
        
        ---
        
        A principal ideia deste pacote é fornecer, em livre licença, uma série de ferramentas capazes de modelar e simular Systemas Elétricos de Potência.  
        
        Para isso, a presente versão possibilita a seguinte operação: 
        
         - Cálculo do Fluxo de Potência pelo método de Newton-Raphson de um sistema com n barras. 
         
         Uma série de novas ferramentas serão disponibilizadas em novas versões, tais como: 
         
         
         - Cálculo de curto-circuitos entre barras.  
         - Cálculo de curto-circuito em linhas. 
         - Cálculos relacionados a Sistemas de Transmissão.   
         - Cálculos relacionados a Sistemas de Distribuição.   
         
         Entre outras ferramentas.
         
          
        This package, pySEP, is a package created to assist in the Electric Power Systems learning, modelling and simulating.   
          
        The application of the Newton-Raphson method for the calculation of power flow in electrical power systems is an example of how it works.
        
        ---
        
        ## Youtube
        
        A playlist was created to show how the code of the Power Flow by Newton-Raphson method was created. It is available in:
        
        ![enter image description here](https://i.ytimg.com/vi/wHmq-bpv-Oo/hqdefault.jpg?sqp=-oaymwEXCNACELwBSFryq4qpAwkIARUAAIhCGAE=&rs=AOn4CLBOhZPCD5Lupd9udu2juM3BecwPQQ)
        
        [FLUXO DE POTÊNCIA POR NEWTON-RAPHSON EM PYTHON](https://www.youtube.com/playlist?list=PLNOc51Usq3jgqOe4zmCNrXJ71SOBpa-TI)
        
        ---
        
        ## Getting Started
        
        For the correct working of this library, it is only required that, on the machine where this package is installed, the Python interpreter is also installed, with versions 3.x onwards being recommended.
        
        ### Installing
        
        A step-by-step guide on how to install this package is described below.
        
        First, using the python pip, just type the following command.
        
        ```
        pip install pySEP
        ```
        
        After that, the package is installed where you configured the installation of it. Therefore, to use the circuit modeling tool to perform the calculations, write this command in the program in which the calculation will be created.
        
        ```
        import pySEP 
        ```
        
        It is common to define an abbreviation to shorten the package name. Do this after "import pySEP", as in the example below.
        
        ```
        import pySEP as psp
        ```
        ### For example
        
        ```
        import pySEP.lFlowNR as psp
        
        c = psp.CreateCircuit(100e6)
        
        c.addBus(1, 1, 1.05, 0, 0 + 0 * 1j, 0 + 0 * 1j)
        c.addBus(2, 2, 1.00, 0, 256.6e6 + 110.2e6 * 1j, 0 + 0 * 1j)
        c.addBus(3, 2, 1.00, 0, 138.6e6 + 45.2e6 * 1j, 0 + 0 * 1j)
        
        c.setSesp()
        
        c.addLine(1, 2, impedancia=0.02 + 0.04j)
        c.addLine(1, 3, impedancia=0.01 + 0.03j)
        c.addLine(2, 3, impedancia=0.0125 + 0.025j)
        
        c.solveCircuito(iteracoes=20, listTensao=[2, 3], listAng=[2, 3], erro=None, showSubMat=False)
        
        c.powerFlow(printTensao=True, printCorrentes=True)
        
        c.losses()
        
        c.plotData(tensao=True, ang=True)
        ```
        
        The above example is enough to create a circuit with 3 buses and 4 lines, to calculate the load flow (power flow by newton-raphson method) in it and to show the results with a graphical description. 
         
         
         It is recommended to run the "help ()" method of the "Create Circuit" class to obtain more detailed information about this code.
        
        ## Built With
        
        All the code in this package uses only two external packages. These are: 
        
        * [NumPy]([https://numpy.org/](https://numpy.org/)) - NumPy is the fundamental package for scientific computing with Python.
        * [MatPlotLib]([https://matplotlib.org/](https://matplotlib.org/)) - Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
        
        All others libraries used in this code are Python builtins.
        
        
        
        ## Versioning
        
        All versions of this package are "committed" and are available on my [GitHub](https://github.com/mrcsantos1/pySEP)
        
        ## Author
        
        * **Marcos Alves dos Santos** - [mrcsantos1](https://github.com/mrcsantos1)
        
        
        ## License
        
        This project is licensed under the Apache License - see the [LICENSE.txt](LICENSE.txt) file for details
        
        
Keywords: Load Flow,Power Flow,Newton-Raphson,Fluxo de Potência,Python,Electrical Engineering,Engenharia Elétrica
Platform: UNKNOWN
Classifier: Development Status :: 6 - Mature
Classifier: Environment :: Console
Classifier: Framework :: Matplotlib
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: Portuguese (Brazilian)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.0
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Adaptive Technologies
Classifier: Topic :: Education
Classifier: Topic :: Education :: Computer Aided Instruction (CAI)
Classifier: Topic :: Education :: Testing
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
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