Multi-Machine Power System Simulation with Invasive Weed Optimization Algorithm

This directory provides comprehensive simulation files for implementing and analyzing a multi-machine power system model. The system features power system stabilizers (PSS) that have been optimally calibrated through the Invasive Weed Optimization algorithm - a bio-inspired metaheuristic technique that mimics weed colonization patterns for parameter optimization. The implementation includes MATLAB scripts for IWO-based PSS tuning, Simulink models of synchronous generators with excitation systems, and performance evaluation modules for stability analysis. Key functions include population initialization for controller parameters, fitness evaluation using eigenvalue placement criteria, and dynamic response visualization tools. Engineers and researchers can utilize these files to study system damping characteristics, compare optimization techniques, and validate controller performance under various disturbance scenarios. The code structure supports modular customization of machine parameters, network configurations, and alternative optimization algorithms for extended research applications. Download the files to explore how bio-inspired optimization enhances power system stability and dynamic performance.