Journal of Green Energy Research and Innovation
Quarterly

A Cutting-Edge Reliability Assessment of MPPT-Driven Photovoltaic Systems Enhanced by Recursive Least Squares Adaptive Identification

Document Type : Research article

Authors

Peyman Bayat
Pezhman Bayat

Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran

https://doi.org/10.61882/jgeri.2.3.72
Abstract
Solar energy has become an important global energy research topic, recognized for its potential to ‎address sustainability challenges.‎‏ ‏While photovoltaic (PV) technology offers clean energy generation, ‎its broader adoption is constrained by limitations such as suboptimal conversion efficiency and high ‎perceived initial costs. This study explores the influence of various maximum power point tracking ‎‎(MPPT) methods on the reliable performance of PV systems that operate in network-connected mode. It ‎investigates how these power optimization strategies impact overall operational reliability, emphasizing ‎the role of MPPT in achieving stable and efficient grid integration. By categorizing MPPT techniques ‎into offline, online, and hybrid groups, the research assesses their impact on reliability metrics within a ‎standardized distribution network. Using the recursive least squares (RLS) method, localized solar cell ‎parameters are dynamically estimated under different MPPT configurations. To isolate the effects of ‎methodologies, irradiation fluctuations are treated as controlled set-point adjustments. Simulation ‎results conducted with MATLAB/Simulink reveal statistically significant correlations between MPPT ‎selection and system reliability, providing actionable insights for enhancing PV grid integration‎‎‎.‎
 

Graphical Abstract

A Cutting-Edge Reliability Assessment of MPPT-Driven Photovoltaic Systems Enhanced by Recursive Least Squares Adaptive Identification

Highlights

❖ RLS-driven dynamic parameter identification for MPPT reliability assessment.
❖ Hierarchical MPPT categorization framework for reliability benchmarking.
❖ Irradiation set-point isolation methodology.
❖ Direct correlation between MPPT dynamics and grid reliability. 

Keywords

Solar energy
Reliability metrics
System identifications
Maximum power point tracking

Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The ethical issues, including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, have been completely observed by the authors.

Credit Authorship Contribution Statement 

Peyman Bayat Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Roles/Writing - original draft, Writing-review & editing. Pezhman Bayat Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Roles/Writing-original draft, Writing-review & editing.

Bibliography

Peyman Bayat  received the bachelor's and master's degrees from Hamedan University of Technology and Bu-Ali Sina ‎University, respectively, and the Ph.D. degree from University of Guilan. Since 2018, he has been with ‎Hamadan University of Technology, where he is currently an Assistant Professor in electrical engineering. ‎His research area includes microgrids, power electronics, electric vehicles, smart grids, sustainable ‎energy, artificial intelligence etc. He is a reviewer of several IEEE and Elsevier journals, such as ‎sustainable cities and society, applied energy, energy storage and many others‎.

Pezhman Bayat is currently working as an Assistant Professor (7+ Years Exp.) in the Department of Electrical Engineering at Hamedan University of Technology. He has completed his Ph.D. from University of Guilan. He has over 12 years research experience in power electronics, machines and drives. His research interests include electric vehicles, renewable energy systems, power electronics etc. He has published over 30 papers and supervised over 20 students to completion. Dr. Bayat is a reviewer of several journals, such as Elsevier journals, IEEE transactions on power electronics, IEEE transactions on industrial electronics, Taylor & Francis international Journal of Electronics, and many others.  

 

Citation
P. Bayat, and P. Bayat," A Cutting-Edge Reliability Assessment of MPPT-Driven Photovoltaic Systems Enhanced by Recursive Least Squares Adaptive Identification," Journal of Green
Energy Research and Innovation, vol. 2, no. 3, pp. 72-93, 2025.

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  • Receive Date 12 March 2025
  • Revise Date 04 May 2025
  • Accept Date 12 May 2025
  • Publish Date 01 September 2025

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