Electrical Power Quality Detection Simulation using MATLAB

This MATLAB-based power quality detection simulation incorporates multiple signal processing techniques and algorithms including wavelet transform, S-transform, Fast Fourier Transform (FFT), and dq-transform. The implementation utilizes MATLAB's signal processing toolbox for wavelet analysis, custom S-transform coding for time-frequency representation, built-in FFT functions for harmonic analysis, and coordinate transformation algorithms for three-phase system evaluation. These algorithms enable comprehensive detection and analysis of various power quality issues such as waveform distortion, harmonic content, voltage sags, and voltage swells. The simulation results assist engineers in better understanding and resolving power quality problems through quantitative algorithmic outputs. The program executes by directly running the Mypower script file, requiring no complex interface setup. During execution, users can observe the effectiveness of different detection algorithms and modify parameters in the code for optimization. Key functions include power_quality_analyzer.m for main processing, wavelet_decomposition.m for multi-resolution analysis, and dq_transformation.m for three-phase sequence component extraction. This MATLAB-based power quality detection simulation serves as a powerful yet user-friendly tool that provides detailed analytical capabilities and algorithmic solutions for power quality assessment.