Virtual Multifunction Power Quality Analyzer Based on Adaptive Linear Neural Network

Monitoring of electrical quantities is an important task for the evaluation of power quality (PQ). However, analysis methods for PQ disturbances are quite different. This circumstance would make the design of a multifunction PQ-measuring instrument difficult. In this paper, the design and implementation of a virtual multifunction PQ analyzer based on the adaptive linear neural network are discussed. The main advantages of the realized analyzer are the simplification and integration for the harmonic/interharmonic analyzer, flickermeter, and voltage event identifier by adopting the same computational mechanism. Finally, some tests are made to verify the performance of the proposed virtual multifunction analyzer.