Identification of Series DC Arc Fault Location in MPPT Photovoltaic System Based on Fast Fourier Transform and Artificial Neural Network-Reference-Cited by-同舟云学术

Identification of Series DC Arc Fault Location in MPPT Photovoltaic System Based on Fast Fourier Transform and Artificial Neural Network

Published:2022-08-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Electronics Symposium (IES)
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Author:

Akbar Dhigmayoga Raseto¹,Prasetyono Eka¹,Anggriawan Dimas Okky¹

Affiliation:

1. Politeknik Elektronika Negeri Surabaya,Electrical Engineering Department,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9888260/9888270/09888627.pdf?arnumber=9888627

Reference18 articles.

1. Smart Detection of AC Series Arc Fault on Home Voltage Line Based on Fast Fourier Transform and Artificial Neural Network;alwi;2019 International Electronics Symposium (IES),2019

2. Detecting and Localizing Series Arc Fault in Photovoltaic Systems Based on Time and Frequency Characteristic of Capacitor Current;qing;Elsevier Solar Energy Journal,2018

3. Study on DC Series Arc Fault in Photovoltaic Systems for Condition Monitoring Purpose;shibo;2017 Australasian Universities Power Engineering Conference (AUPEC),2017

4. Design of a DC Series Arc Fault Detector for Photovoltaic Systems Protection;jyh-cherng;2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS),2018

5. Desain dan Implementasi Peralatan Deteksi Arcing Tegangan Rendah Berbasis LabView;azmi;Jurnal Teknik Its,2017

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