A Fuzzy Logic based recognition technique for Power Quality categorization

Exhibitor: Alok Thapar

Supervisor: Tapan Saha

Research Group: Complex and Intelligent Systems

Industry Sector: Energy and Utilities

With an increasing usage of sensitive electronic equipment power quality has become a major concern now. One critical aspect of power quality studies is the ability to perform automatic power quality data analysis and categorization. The objective of this project is to present a technique based on fuzzy logic to categorize power quality events. Inherent features are extracted from recorded waveforms using Fourier and wavelet analyses and fed into a fuzzy expert system. The categorization technique has been implemented using the Fourier, Wavelet and Fuzzy Logic Toolboxes in MATLAB and tested with real power quality data.