The 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 low-cost PQ-measuring
instrument difficult. In this paper, the design and
implementation of a virtual multifunction PQ
analyzer based on the adaptive linear neural network
(ADALINE) is discussed. The main advantages of
the realized analyzer are the simplification and
integration for the harmonic/interharmonic analyzer,
flickermeter, and PQ-event identifier by adopting the
same computational mechanism. Finally, some
experimental results are displayed to report the
performance of proposed virtual multifunction
analyzer.
Relation:
Proceedings of the 5th Intelligent Living Technology Conference
