Energy Management System for Hybrid Microgrid

Overview

This repository contains the implementation of an energy management system designed for hybrid microgrids. The system optimizes energy distribution and effectively uses renewable energy sources.

Structure

• Code:
  • Algorithm: Implementation of energy management algorithms, available as interactive Live Scripts and executable scripts.
    • Live Script (Notebook) Version:
      • EMS Algorithm.mlx: Interactive notebook detailing the EMS algorithm with visualizations and live code for a comprehensive understanding.
      • Sensitivity Analysis for Battery-Diesel Trade-off.mlx: Interactive analysis focusing on the trade-offs between battery storage and diesel generator usage.
    • Script Version:
      • EMS_Algorithm.m: Executable MATLAB script of the EMS algorithm for direct simulation.
      • Sensitivity_Analysis_for_Battery-Diesel_Trade-off.m: MATLAB script for conducting sensitivity analysis regarding energy storage and diesel usage.
  • Data Generation: Scripts for generating or simulating data necessary for testing the algorithms.
• Data:
  • EDL.csv: Energy distribution and load data.
  • Load.csv: Specific load consumption data.
  • Temperature.csv: Temperature data influencing energy consumption or generation.
  • radiation_data.csv: Solar radiation data crucial for solar power calculations.
  • solar_irradiance.csv: Data on solar irradiance.
• Documentation:
  • Report.pdf: Detailed project report including system architecture, algorithm details, and performance results.
  • Slides.pdf: Presentation slides providing an overview and impact of the energy management system.

Getting Started

To get started, clone this repository and navigate to the Code directory to explore the algorithms implemented. Ensure you have the necessary software and libraries installed to run the scripts, particularly MATLAB for the scripts and Live Scripts.

Contributing

We welcome contributions! If you have improvements or new features, please fork the repository and submit a pull request. Ensure to include a brief description of your changes and any necessary documentation updates.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Contact

For any queries or further collaboration, please open an issue in this repository or contact the project maintainers directly.

Acknowledgments

• We extend our heartfelt thanks to all contributors, data providers, advisors, and everyone who has supported this project. Your contributions have been invaluable.