Asian Journal of Information Technology

Year: 2014
Volume: 13
Issue: 2
Page No. 77 - 82

Unified Power Quality Conditioner with Fuzzy Logic, Neural Network and Neuro Fuzzy Controllers for Power Quality Improvement

Authors : D. Rajasekaran and Subhransu Sekhar Dash

Abstract: The major power quality issues are voltage sag, voltage swell and voltage harmonics in distribution system. These power quality issues are solved by custom power conditioning devices such as Dynamic Voltage Restorer (DVR), Distributed Static Compensator (DSTATCOM) and Unified Power Quality Conditioner (UPQC). This study presents the ability of Unified Power Quality Conditioner (UPQC) to mitigate voltage sag, voltage swell and voltage harmonics in distribution system. UPQC is modeled in MATLAB-SIMULINK environment with Fuzzy Logic (FL), Neural Network (NN) and Neuro Fuzzy (NF) controllers. The performances of UPQC with three controllers are compared and from comparison it is concluded that UPQC with NF controller effectively mitigates voltage sag, voltage swell and voltage harmonics.

How to cite this article:

D. Rajasekaran and Subhransu Sekhar Dash, 2014. Unified Power Quality Conditioner with Fuzzy Logic, Neural Network and Neuro Fuzzy Controllers for Power Quality Improvement. Asian Journal of Information Technology, 13: 77-82.

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