Improvement of Power Quality by Hybrid Fuzzy Based Reduced-Rating Dvr with Battery Energy Storage System
Abstract
In this thesis a hybrid fuzzy based reduced-rating dynamic voltage restorer (DVR) is presented for improving the power quality with a battery energy storage system. A modular control technique with addition to fuzzy control, capacitor-supported DVR is presented.
In this paper, different voltage injection schemes for dynamic voltage restorers (DVRs) are analyzed with particular focus on a new method used to minimize the rating of the voltage source converter (VSC) used in DVR.
The control of a DVR is demonstrated with a reduces-rating VCS. The reference load voltage is estimated using the unit vectors. The synchronous reference frame theory is used for the conversion of voltages from rotating vectors to the stationary frame. The compensation of the voltage sag, swell, and harmonics is demonstrated using a reduced-rating DVR. Finally it is verified in MATLAB and the simulation results here are presented.
Index Terms—Dynamic voltage restorer (DVR); Hybrid Fuzzy Controller; power quality; voltage harmonics; voltage sag; and voltage swells
In this paper, different voltage injection schemes for dynamic voltage restorers (DVRs) are analyzed with particular focus on a new method used to minimize the rating of the voltage source converter (VSC) used in DVR.
The control of a DVR is demonstrated with a reduces-rating VCS. The reference load voltage is estimated using the unit vectors. The synchronous reference frame theory is used for the conversion of voltages from rotating vectors to the stationary frame. The compensation of the voltage sag, swell, and harmonics is demonstrated using a reduced-rating DVR. Finally it is verified in MATLAB and the simulation results here are presented.
Index Terms—Dynamic voltage restorer (DVR); Hybrid Fuzzy Controller; power quality; voltage harmonics; voltage sag; and voltage swells
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