Volume & Issue no: Volume 3, Issue 8, August 2014
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Title: |
Analysis of Power Quality Improvement by using BFO-Fuzzy Controlled DVR |
Author Name: |
Chirag Kalia, Divesh Kumar, Pawan Rana |
Abstract: |
ABSTRACT
Power quality is the one of the major concern in the present era. It has become important, with the introduction of power
sensitive devices, whose performance is very sesnsitive to the quality of power supply. Power quality distortion occurrence
results in failure of end user equipment. Voltage sags and swells in the medium and low voltage distribution grid are
considered to be the most frequent type of power quality problems based on recent power quality studies. Their impact on
sensitive loads is severe. The impact ranges from load disruptions to substantial economic losses up to millions of dollars.
Different solutions have been developed to protect sensitive loads against such disturbances but the DVR is considered to be
the most efficient and effective solution. Its appeal includes lower cost, smaller size and its dynamic response to the
disturbance. This research described DVR principles and voltage restoration methods for balanced and/or unbalanced voltage
sags and swells in a distribution system. Simulation results were presented to illustrate and understand the performances of
DVR under voltage sags/swells conditions. The controlling of DVR is done by controlling the duty cycle of pulse width
modulator (PWM). For this, in this thesis bacterial foraging optimization along with fuzzy logic is used. Membership
functions of fuzzy logic are optimized by bacterial foraging optimization which is a bio inspired optimization technique and
based on the behavior of E. Coli bacteria. Reduction in total harmonic distortion (THD) is compared with PI controller and
fuzzy controlled DVR and it has been found that firefly optimized fuzzy logic reduces THD upto a good value
Keywords- DVR,PWM,THD,FUZZY CONTRO |
Cite this article: |
Chirag Kalia, Divesh Kumar, Pawan Rana , "
Analysis of Power Quality Improvement by using BFO-Fuzzy Controlled DVR" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) ,
Volume 3, Issue 8, August 2014 , pp.
025-031 , ISSN 2319 - 4847.
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