Newton_Raphson_Assignment_Group_3

built by Lloyd, Nath, and the boys

Load Flow Analysis using Newton-Raphson Method

This project implements a load flow analysis solver using the Newton-Raphson method in Python. The solver calculates the voltage magnitudes and angles at each bus in a power system network.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Modules
• Contributing
• License
• Acknowledgements

Introduction

Load flow analysis is a fundamental tool in power system engineering used to determine the steady-state operating conditions of a power system. This project uses the Newton-Raphson method, which is an iterative numerical technique, to solve the load flow problem.

Features

• Calculates voltage magnitudes and angles at each bus.
• Handles different types of buses: PQ, PV, and Slack (Vθ).
• Uses an admittance matrix derived from the impedance matrix.
• Provides detailed error handling and convergence checks.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/load-flow-analysis.git
   cd load-flow-analysis

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the main script:

   python main.py

2. Follow the prompts to input the bus data and impedance matrix.

Modules

• bus_data_input.py: Handles the input of bus data and determines the bus type.
• calculated_power.py: Calculates the power at each bus.
• equation.py: Generates power equations based on the bus data and admittance matrix.
• jacobian.py: Calculates the Jacobian matrix and its inverse.
• y_matrix.py: Calculates the admittance matrix from the impedance matrix.
• y_matrix_gen.py: Generates the admittance matrix and converts it to polar form.
• main.py: Implements the Newton-Raphson method for load flow analysis.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

• Thanks to the open-source community for providing valuable resources and tools.
• Special thanks to Dr. Elvis Twumasi for inspiring the development of this project.