HHT Transformation MATLAB Implementation

The HHT transformation MATLAB program runs seamlessly in the MATLAB environment. To execute, launch MATLAB software and load the program file. Users can modify various parameters in the code, including sampling points and signal characteristics. The implementation generates multiple power quality signals programmatically, allowing signal superposition for complex analysis scenarios. The code structure supports analysis of voltage sags, harmonics, temporary swells, interruptions, and other power quality phenomena through parameterized signal generation functions. Running the HHT transformation program in MATLAB is straightforward. Begin by opening MATLAB and loading the program file. The code architecture allows flexible parameter adjustments such as sampling frequency and signal amplitude through defined variables in the initialization section. This program generates base power quality signals algorithmically and supports signal superposition using MATLAB's array operations. For instance, the script combines fundamental frequency components with disturbance waveforms to simulate composite signals like voltage sags with harmonic contamination. The provided example focuses on voltage sag analysis, where the code implements empirical mode decomposition (EMD) for signal decomposition and Hilbert spectral analysis for time-frequency characterization. Key functions include signal generation routines that create customizable disturbance waveforms and HHT processing modules that compute instantaneous frequency components. Through this implementation, users can gain deeper insights into power quality issues by analyzing different signal types and their combined effects, facilitating better understanding of power system challenges and supporting development of quality improvement measures.