Publication Date : 01/08/2017

Author(s) :

Bukata, B.B..

Volume/Issue :
Volume 12
Issue 2
(08 - 2017)

Abstract :

Nowadays, the increase use of sensitive power electronic devices leads to the increase of equipment that introduces power quality (PQ) problems in distribution system. This necessitates the need to find the means to compensate pow-er quality disturbances so that, reliable and quality power will be delivered to customers. This paper investigates an efficient control scheme for unified power quality conditioner (UPQC) with Neuro-fuzzy (NF) techniques. The voltage and current reference signals are derived using the synchronous reference frame (SRF) theory. The derived reference signals and sensed signals are injected in to pulse width modulation (PWM) control technique to generate switching signals. The performances of the proposed Neuro-fuzzy based UPQC system are evaluated in terms of solving voltage sag, voltage swell and harmonics problems using SimPowerSystem toolbox residing in MATLAB/SIMULINK envi-ronment. The results were also compared with FL (fuzzy logic) and NN (neural network) performances.

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