A random subspace ensemble classification model for discrimination of power quality events in solar PV microgrid power network

• Main Authors: Vinayagam, Arangarajan, Mohammad Lutfi Othman, Veerasamy, Veerapandiyan, Balaji, Suganthi Saravan, Ramaiyan, Kalaivani, Radhakrishnan, Padmavathi, Raman, Mohan Das, Noor Izzri Abdul Wahab
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Discrete Wavelet Transform; Wavelet Analysis
• Online Access: https://hdl.handle.net/10356/163092
• Institution: Nanyang Technological University

This study proposes SVM based Random Subspace (RS) ensemble classifier to discriminate different Power Quality Events (PQEs) in a photovoltaic (PV) connected Microgrid (MG) model. The MG model is developed and simulated with the presence of different PQEs (voltage and harmonic related signals and di...