Abstract

When collecting solar energy via photovoltaic (PV) panel arrays, one common issue is the potential occurrence of faults. Faults arise from panel short-circuit, soiling, shading, ground leakage and other sources. Machine learning algorithms have enabled data-based classification of faults. In this paper, we present an Internet-based PV array fault monitoring simulation using the Java-DSP (J-DSP) simulation environment. We first develop a solar array simulation in J-DSP and then form appropriate graphics to examine V-I curves, maximum power point tracking, and faults. We then introduce a multi-layer perceptron model for PV fault detection. We deploy and assess the simulation by disseminating to a group of users that provide feedback.

Original languageEnglish (US)
Title of host publication2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538637319
DOIs
StatePublished - Feb 1 2019
Event9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018 - Zakynthos, Greece
Duration: Jul 23 2018Jul 25 2018

Publication series

Name2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018

Conference

Conference9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018
CountryGreece
CityZakynthos
Period7/23/187/25/18

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Information Systems
  • Software
  • Safety, Risk, Reliability and Quality
  • Social Sciences (miscellaneous)

Cite this

Khondoker, F., Rao, S., Spanias, A., & Tepedelenlioglu, C. (2019). Photovoltaic array simulation and fault prediction via multilayer perceptron models. In 2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018 [8633699] (2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISA.2018.8633699