Dynamic voltage restorer quality improvement analysis using particle swarm optimization and artificial neural networks for voltage sag mitigation

• Main Authors: Yulianta, Siregar, Maulaya, Muhammad, Yanuar Zulardiansyah, Arief, Naemah, Mubarakah, Soeharwinto, Soeharwinto, Riswan, Dinzi
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science (IAES) 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://ir.unimas.my/id/eprint/42918/3/Dynamic.pdf; http://ir.unimas.my/id/eprint/42918/; https://ijece.iaescore.com/index.php/IJECE/article/view/33478; http://doi.org/10.11591/ijece.v13i6.pp6079-6091
• Institution: Universiti Malaysia Sarawak

Power quality is one of the problems in power systems, caused by increased nonlinear loads and short circuit faults. Short circuits often occur in power systems and generally cause voltage sags that can damage sensitive loads. Dynamic voltage restorer (DVR) is an efficient and flexible solution for...