scholarly journals Voltage distortion mitigation in a distributed generation-integrated weak utility network via a self-tuning filter-based dynamic voltage restorer

2017 ◽  
Vol 100 (3) ◽  
pp. 1857-1867 ◽  
Author(s):  
Samet Biricik ◽  
Shafiuzzaman K. Khadem ◽  
Soydan Redif ◽  
Malabika Basu
Keyword(s):  
Distributed Generation ◽  
Dynamic Voltage Restorer ◽  
Voltage Distortion ◽  
Voltage Restorer ◽  
Dynamic Voltage ◽  
Self Tuning ◽  
Utility Network ◽  
Weak Utility

Performance of Distributed Generation (DG) towards Dynamic Voltage Restorer (DVR) in Mitigating Voltage Dips

2015 ◽  
Vol 793 ◽  
pp. 3-8
Author(s):  
Melaty Amirruddin ◽  
Muhd Hafizi Idris ◽  
A.H. Hana ◽  
N.S. Noorpi ◽  
O. Mardianaliza ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Computer Aided Design ◽  
Test System ◽  
Dynamic Voltage Restorer ◽  
Ground Fault ◽  
Voltage Restorer ◽  
Computer Aided ◽  
Voltage Dips ◽  
Dynamic Voltage ◽  
Aided Design

This article presents the performance of Distributed Generation (DG) towards Dynamic Voltage Restorer (DVR) in mitigating voltage dips. An investigation was conducted to explore the effect of DG with the test system and the results will be analyzed during line to ground fault with DVR contains DG and without DG. The percentages of the voltage dips that occur will be compared between all the test systems. From this analysis of voltage dips percentage, the effectiveness of the DG towards DVR in mitigating voltage dips can be obtained clearly. The simulation of the test system will be done using Power System Computer Aided Design (PSCAD) software.

scholarly journals Fuzzy Neural Technique Based Dynamic Voltage Restorer for Power Quality Enhancement Under Different Voltage Variations

2020 ◽  
Vol 7 (3) ◽  
pp. 29-40
Author(s):  
Abdul-Jabbar Fathel Ali ◽  
Wael Hussein Zayer ◽  
Samhar Saeed Shukir
Keyword(s):  
Power Quality ◽  
Renewable Energy Sources ◽  
Neural Controller ◽  
Dynamic Voltage Restorer ◽  
Voltage Distortion ◽  
Voltage Restorer ◽  
Power Disturbances ◽  
Fuzzy Neural ◽  
Dynamic Voltage ◽  
Custom Power

Abstract— 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.

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