article
A cascade-type hierarchical fuzzy system with additional defuzzification of layers for the automatic power quality diagnosis
Registro en:
1568-4946
10.1016/j.asoc.2019.02.007
Autor
Nolasco, Diego Habib Santos
Palmeira, Eduardo Silva
Costa, Flávio Bezerra
Resumen
In general the power quality diagnosis of low-voltage electrical systems is a difficult issue due to the
nuances of different power quality standards around the world and the uncertainties characteristics of
the evaluation parameters. In this framework, this paper proposes a new methodology for diagnosing
the power quality by means of a cascade-type hierarchical fuzzy system with additional defuzzification
of layers (C-HFS-ADL), also proposed in this paper, which is able to evaluate the power quality indices
in steady-state (total harmonic distortions, power factor, voltage variation, and unbalance voltage)
considering several standards and provides a proper and complete diagnosis of the power quality in
electrical systems. In the proposed C-HFS-ADL each output of a subsystem is transferred between inner
layers of the hierarchical system and a total power quality diagnosis is obtained taking into account a
secondary decision-making process with additional defuzzification in order to have a partial diagnosis
for each subsystem of the hierarchy. In addition, an algorithm was implemented considering different
inference systems for analyzing the behavior of the C-HFS-ADL on a database (power quality indices)
obtained from a real electrical substation for observing its advantages and disadvantages