ANFIS BASED POWER QUALITY SOLUTION USING UNIFIED POWER QUALITY CONDITIONER

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.

No. of Downloads :

About BayeroJet

The new Bayerojet Journal is designed to be able to manage the increasing number of published articles. The new system will allow the publishers as well as the Bayerojet team to make publishing more efficient. If you wish to publish an article it will be very easy. All you have to do is to submit your paper online and wait to the review before it will be finally published. You can manage your articles and send new versions at any time. Browse through our page to find out more.