LSTM recurrent neural network classifier for high impedance fault detection in solar PV integrated power system

• Main Authors: Veerasamy, Veerapandiyan, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutfi, Padmanaban, Sanjeevikumar, Sekar, Kavaskar, Ramachandran, Rajeswari, Hizam, Hashim, Vinayagam, Arangarajan, Islam, Mohammad Zohrul
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2021
• Online Access: http://psasir.upm.edu.my/id/eprint/94060/; https://ieeexplore.ieee.org/document/9359758

This paper presents the detection of High Impedance Fault (HIF) in solar Photovoltaic (PV) integrated power system using recurrent neural network-based Long Short-Term Memory (LSTM) approach. For study this, an IEEE 13-bus system was modeled in MATLAB/Simulink environment to integrate 300 kW solar P...