Maximum power point tracking under partial shading condition-based on Lévy flight-grey wolf optimization

Liqun Shang; Jiarui Li

doi:10.1117/12.3004950

25 September 2023 Maximum power point tracking under partial shading condition-based on Lévy flight-grey wolf optimization

Liqun Shang, Jiarui Li

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 1278846 (2023) https://doi.org/10.1117/12.3004950
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Due to the multi-peak characteristics of the power curve under Partial Shading Condition (PSC) in PV power generation systems, the traditional Maximum Power Point Tracking (MPPT) technique suffers from the problem that the convergence speed and the ability to jump out of the local optimum solution are difficult to achieve. In this paper, a Lévy Flight-Grey Wolf Optimization algorithm is proposed and applied to the PV MPPT problem. The Lévy Flight strategy is used to improve the ability of the algorithm to jump out of the local optimum and enhance the global searching performance. At the same time, the social hierarchy of wolves in the Grey Wolf Optimization algorithm is improved so that the algorithm can quickly converge to the Maximum Power Point (MPP). Finally, simulations are carried out under static and varying partial shading conditions and compared with Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). The proposed algorithm is verified to be more effective in terms of convergence speed, global search capability and robustness

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liqun Shang and Jiarui Li "Maximum power point tracking under partial shading condition-based on Lévy flight-grey wolf optimization", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 1278846 (25 September 2023); https://doi.org/10.1117/12.3004950

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available