Open AccessFuzzy Neural Technique Based Dynamic Voltage Restorer for Power Quality Enhancement Under Different Voltage Variations
Author(s) -
Aziah Ali,
Wael Hussein Zayer,
Samhar Saeed Shukir
Publication year - 2020
Publication title -
mağallaẗ wāsiṭ li-l-ʿulūm al-handasiyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2663-1970
pISSN - 2305-6932
DOI - 10.31185/ejuow.vol7.iss3.135
Subject(s) - harmonics , voltage , voltage optimisation , computer science , power (physics) , fault (geology) , fuzzy logic , voltage sag , distortion (music) , matlab , control theory (sociology) , power factor , power quality , electronic engineering , automotive engineering , electrical engineering , engineering , control (management) , artificial intelligence , telecommunications , amplifier , physics , quantum mechanics , seismology , geology , operating system , bandwidth (computing)
— Recently a large interest has been focused on power quality field due to: disturbances caused by non-linear loads, Increase in the number of electronic devices and renewable energy sources. Power quality measures the fitness of the electric power transmitted from generation to the industrial, domestic and commercial consumers. In a power system voltage distortion introduced by harmonics and voltage sags are the most severe affecting power quality, because of both consumers and utilities are affected by these disturbances. Different methods to enhance the power quality but the custom power device is the most effective and efficient method. One of which is the use of Dynamic Voltage Restorer (DVR). The performance of the DVR based on Fuzzy Neural controller to restore the load voltage to its nominal value under different fault conditions and power disturbances is presented in this paper. Simulation results are carried out using MATLAB/SIMULINK program. The faults and disturbances are initiated at 0.8s and kept till 0.95s.