TY  - JOUR
T1  - Unified Power Quality Conditioner with Fuzzy Logic, Neural Network and Neuro Fuzzy Controllers for Power Quality Improvement
AU - Rajasekaran, D. AU - Dash, Subhransu Sekhar 
JO  - Asian Journal of Information Technology
VL  - 13
IS  - 2
SP  - 77
EP  - 82
PY  - 2014
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2014.77.82
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2014.77.82
KW  - Power quality
KW  -UPQC
KW  -voltage sag
KW  -voltage swell
KW  -voltage harmonics
KW  -IGBT
KW  -VSI
KW  -MATLAB/SIMULINK
KW  -fuzzy logic
KW  -neural network
KW  -neuro fuzzy
KW  -energy storage system
AB  - 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.
ER  -