Fault diagnosis strategy for a standalone photovoltaic system: a residual formation approach
Authors:
- Zaheer Alam,
- Malak Adnan Khan,
- Zain Ahmad Khan,
- Waleed Ahmad,
- Imran Khan,
- Qudrat Khan,
- Muhammad Irfan,
- Grzegorz Nowakowski
Abstract
The search for sustainability and green energy, in electricity production, has lead many researchers to study and improve photovoltaic (PV) systems. The PV systems, being a combination of power electronic modules and PV array, have high tendency of faults in sensors, switches, and passive devices. Thus, a reliable fault diagnosis (FD) scheme plays a significant role in protecting PV systems. In this article, a sliding mode observer (SMO)-based FD scheme is presented to figure out the sensor faults in a standalone PV system. The proposed FD scheme makes use of residual formation which in turn helps in detection of faults on the basis of a defined threshold. In addition to the functionality of fault detection, the SMO provides the benefit of reduction in number of sensors required in the PV system. This feature can be utilized as software redundancy in fault-tolerant control (FTC). The test bench, standalone PV system, is equipped with a buck–boost converter for maximum power transfer (MPT) to the connected load. Moreover, the FD scheme is backed by a backstepping (BS) analogy-based control scheme for extraction of maximum power from the PV panel. The simulations are performed in the MATLAB/Simulink platform under varying environmental conditions (temperature and irradiance) and resistive load. These simulations, subjected to varying operating conditions, confirm the efficacy, in terms of robustness, chattering (oscillations about the reference), and steady-state error, of the proposed scheme.
- Record ID
- CUT9abee48810b7430689adcaba0829e765
- Publication categories
- ;
- Author
- Journal series
- Electronics (Switzerland), ISSN , e-ISSN 2079-9292, Bimonthly
- Issue year
- 2023
- Vol
- 12
- No
- 2
- Pages
- [1-17]
- Article number
- 282
- Other elements of collation
- rys.; schem.; tab.; wykr.; Bibliografia (na s.) - 16-17; Bibliografia (liczba pozycji) - 34; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 12, Iss. 2
- Substantive notes
- This article belongs to the Special Issue: Advanced Fault Detection, Diagnosis and Prognosis in a Context of Renewable Power Generation
- Keywords in English
- PV sensor faults, residual formation, robust sliding mode observer, sensor fault diagnosis, standalone PV system
- ASJC Classification
- ; ; ; ;
- DOI
- DOI:10.3390/electronics12020282 Opening in a new tab
- URL
- https://www.mdpi.com/2079-9292/12/2/282 Opening in a new tab
- Related project
- [E-1/2023] Faculty of Electrical and Computer Engineering, Cracow University of Technology and the Ministry of Science and Higher Education. . Project leader at PK: , ,
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Score source
- journalList
- Score
- Publication indicators
- Citation count
- 2
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT9abee48810b7430689adcaba0829e765/
- URN
urn:pkr-prod:CUT9abee48810b7430689adcaba0829e765
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.