@article{MAKHILLAJIT20141325801,
    title = {Unified Power Quality Conditioner with Fuzzy Logic, Neural Network and Neuro Fuzzy Controllers for Power Quality Improvement},
    journal = {Asian Journal of Information Technology},
    volume = {13},
    number = {2},
    pages = {77-82},
    year = {2014},
    issn = {1682-3915},
    doi = {ajit.2014.77.82},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2014.77.82},
    author = {D. and},
    keywords = {Power quality,UPQC,voltage sag,voltage swell,voltage harmonics,IGBT,VSI,MATLAB/SIMULINK,fuzzy logic,neural network,neuro fuzzy,energy storage system},
    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.}
    }