A novel microgrid fault detection and classification method using maximal overlap discrete wavelet packet transform and an augmented Lagrangian particle swarm optimization-support vector machine

• Main Authors: Ahmadipour, Masoud, Othman, Muhammad Murtadha, Bo, Rui, Salam, Zainal, Mohammed Ridha, Hussein, Hasan, Kamrul
• Format: Article
• Language: English
• Published: Elsevier Ltd 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/103644/1/ZainalSalam2022_ANovelMicrogridFaultDetectionandClassification.pdf; http://eprints.utm.my/103644/; http://dx.doi.org/10.1016/j.egyr.2022.03.174
• Institution: Universiti Teknologi Malaysia

In this paper, an intelligent method for fault detection and classification for a microgrid (MG) was proposed. The idea was based on the combination of three computational tools: signal processing using the maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by the aug...