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SSO-Shaded-PV-Switch-Matrix

This repository implements the Salp Swarm Optimizer (SSA) to optimize the switching matrix of shaded photovoltaic (PV) arrays, enhancing power output and efficiency under partial shading conditions.

Features

  • Optimization Algorithm: Implements the SSA for dynamic reconfiguration of PV arrays.
  • Performance Metrics: Calculates power enhancement and analyzes configurations.
  • Visualization: Convergence curves and matrix arrangement comparisons.

Directory Structure

Mahmood-Anaam-sso-shaded-pv-switch-matrix/
├── README.md                # Project documentation
└── src/                     # Source code files
    ├── DisplayResultsDiaryFile.txt  # Logs simulation results
    ├── SSA.m                # Salp Swarm Algorithm implementation
    ├── getInfo.m            # Retrieves power metrics and configurations
    ├── initialization.m     # Initializes search agents
    ├── main.m               # Main script to run the simulation
    ├── objective_function.m # Defines the fitness function
    └── randomize_matrix_vertically.m # Randomizes matrix rows

How to Run

  1. Clone the repository: 
    git clone https://github.com/Mahmood-Anaam/sso-shaded-pv-switch-matrix.git
  2. Open MATLAB and navigate to the src/ directory.
  3. Run the main script: 
    main.m

Outputs

  • Optimized PV Array Configuration: Displays the rearranged PV matrix.
  • Power Enhancement Percentage: Quantifies the improvement in power output.
  • Convergence Curve: Tracks the optimization progress.
  • Visualization: Provides a comparison of original and optimized configurations.