@article {10.3844/ajassp.2013.688.695,
article_type = {journal},
title = {Artificial Neural Network Controller Based Distribution Static Compensator for Voltage Sag Mitigation},
author = {Rajasekaran, D. and Dash, Subhransu Sekhar and Mayilvaganan, Arun Bhaskar and Subramani, C. and Krishnan, Sathyanarayan},
volume = {10},
year = {2013},
month = {Jun},
pages = {688-695},
doi = {10.3844/ajassp.2013.688.695},
url = {https://thescipub.com/abstract/ajassp.2013.688.695},
abstract = {Switching of loads, capacitors, along with the proliferation of power electronics equipment, non-linear loads in industrial, commercial and domestic applications have lead to power quality issues in the distribution system. Power quality issues such as voltage sag, voltage swell and harmonics, which are certainly major concerning issues in the present era. These issues can lead to failure or malfunction of the many sensitive loads connected to the distribution system, thus incurring a high cost for end users. Power quality problems are solved by advanced custom power devices. This study presents how the custom power device Distribution Static Compensator (D-STATCOM) is used to mitigate voltage sag and voltage harmonics in distribution system. Artificial Neural Network (ANN) controller based D-STATCOM is simulated in MATLAB-SIMULINK environment. Prototype model for single phase D-STATCOM is developed to verify the results. The simulation and hardware results show clearly the performance of the D-STATCOM in mitigating voltage sag and voltage harmonics in distribution system.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}