Simulation of Universal Power Quality Control Algorithms Using MATLAB

This article provides an in-depth exploration of universal power quality control algorithms. These algorithms can be effectively applied to address various power quality issues in electrical systems, including voltage fluctuations, harmonic distortions, voltage flicker, and frequency deviations. The implementation typically involves designing control logic using PID controllers or advanced techniques like fuzzy logic and neural networks, which can be coded using MATLAB's Control System Toolbox and Simulink environment. For simulation validation, MATLAB offers powerful capabilities to model different power system scenarios and control strategies. Researchers can utilize Simscape Electrical (formerly SimPowerSystems) to build detailed electrical network models, while implementing custom control algorithms through MATLAB functions or Stateflow charts. The simulation process enables testing of algorithm adaptability and superiority under varying load conditions, fault scenarios, and dynamic system operations. Furthermore, the discussion extends to algorithm improvements and practical applications. Through MATLAB's optimization tools and real-time simulation capabilities, engineers can enhance control parameters using genetic algorithms or particle swarm optimization, ultimately improving power quality management effectiveness in modern power systems. The code implementation may include features like FFT analysis for harmonic detection, custom S-functions for specialized control logic, and automatic report generation for performance evaluation.