Publication detail

Condition Monitoring and Maintenance Management with Grid-Connected Renewable Energy Systems

ALAM, M. HAQUE, A. KHAN, M. SOBAHI, N. MEHEDI, I. KHAN, A.

Original Title

Condition Monitoring and Maintenance Management with Grid-Connected Renewable Energy Systems

Type

journal article in Web of Science

Language

English

Original Abstract

The shift towards the renewable energy market for carbon-neutral power generation has encouraged different governments to come up with a plan of action. But with the endorsement of renewable energy for harsh environmental conditions like sand dust and snow, monitoring and maintenance are a few of the prime concerns. These problems were addressed widely in the literature, but most of the research has drawbacks due to long detection time, and high misclassification error. Hence to overcome these drawbacks, and to develop an accurate monitoring approach, this paper is motivated toward the understanding of primary failure concerning a grid-connected photovoltaic (PV) system and highlighted along with a brief overview on existing fault detection methodology. Based on the drawback a data-driven machine learning approach has been used for the identification of fault and indicating the maintenance unit regarding the operation and maintenance requirement. Further, the system was tested with a 4 kWp grid-connected PV system, and a decision tree-based algorithm was developed for the identification of a fault. The results identified 94.7% training accuracy and 14000 observations/sec prediction speed for the trained classifier and improved the reliability of fault detection nature of the grid-connected PV operation.

Keywords

Fault detection; machine learning; fault ride through

Authors

ALAM, M.; HAQUE, A.; KHAN, M.; SOBAHI, N.; MEHEDI, I.; KHAN, A.

Released

29. 3. 2022

Publisher

Tech Science Press

Location

HENDERSON

ISBN

1546-2218

Periodical

CMC-Computers Materials & Continua

Year of study

72

Number

2

State

United States of America

Pages from

3999

Pages to

4017

Pages count

19

URL

https://www.techscience.com/cmc/v72n2/47234

Full text in the Digital Library

http://hdl.handle.net/11012/204172

BibTex

@article{BUT177645,
  author="Md. Mottahir {Alam} and Ahteshamul {Haque} and Mohammed Ali {Khan} and Nebras M. {Sobahi} and Ibrahim Mustafa {Mehedi} and Asif Irshad {Khan}",
  title="Condition Monitoring and Maintenance Management with Grid-Connected Renewable Energy Systems",
  journal="CMC-Computers Materials & Continua",
  year="2022",
  volume="72",
  number="2",
  pages="3999--4017",
  doi="10.32604/cmc.2022.026353",
  issn="1546-2218",
  url="https://www.techscience.com/cmc/v72n2/47234"
}