MPPT control of photovoltaic array based on improved marine predator algorithm under complex solar irradiance conditions

Zhang, Haiyang; Wang, Xiaowei; Zhang, Jiasheng; Ge, Yingkai; Wang, Lihua

doi:10.1038/s41598-024-70811-x

Sci Rep

2024

DOI: 10.1038/s41598-024-70811-x

|View full text |Cite

MPPT control of photovoltaic array based on improved marine predator algorithm under complex solar irradiance conditions

Haiyang Zhang,

Xiaowei Wang,

Jiasheng Zhang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions

Jamaludin,

Tajuddin,

Younis

et al. 2025

Sci Rep

View full text Add to dashboard Cite

Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions

Jamaludin,

Tajuddin,

Younis

et al. 2025

Sci Rep

View full text Add to dashboard Cite

A novel strategy for the MPPT in a photovoltaic system via sliding modes control

Contreras Carmona,

Saldivar,

Portillo-Rodríguez

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

This paper proposes a robust maximum power point tracking algorithm based on a super twisting sliding modes controller. The underlying idea is solving the classical trajectory tracking control problem where the maximum power point defines the reference path. This trajectory is determined through two approaches: a) using the simplest linear and multiple regression models that can be constructed from the solar irradiance and temperature, and b) considering optimum operating parameters derived from the photovoltaic system’s characteristics. The proposal is compared with the classical methods Perturbation and Observation and Incremental Conductance, as well as with two recently reported hybrid algorithm based on Artificial Neural Networks: one uses the Levenberg-Marquardt algorithm and the other applies Bayesian regularization to generate current and voltage references, respectively. Both use a Proportional-Integral-Derivative controller to solve the maximum power point tracking problem. Numerical simulations confirm the effectiveness of the method proposed in this work regarding convergence time, power efficiency, and amplitude of oscillations. Furthermore, it has been shown that, although no significant differences in the system response are observed with respect to the Artificial Neural Networks-based methods, the proposed algorithm with a reference generated through a linear regression constitutes a low-complexity solution that does not require a temperature sensor to efficiently solve the maximum power point tracking problem.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

MPPT control of photovoltaic array based on improved marine predator algorithm under complex solar irradiance conditions

Cited by 2 publications

References 48 publications

Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions

Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions

A novel strategy for the MPPT in a photovoltaic system via sliding modes control

Contact Info

Product

Resources

About