Model of photovoltaic cell and maximum power point tracking control strategy based on improved variable step-size perturb and observe algorithm

Hui Zhou; Biao Zhang; Jue Su

doi:10.1117/12.2648143

14 October 2022 Model of photovoltaic cell and maximum power point tracking control strategy based on improved variable step-size perturb and observe algorithm

Hui Zhou, Biao Zhang, Jue Su

Author Affiliations +

Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123431M (2022) https://doi.org/10.1117/12.2648143
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China

Abstract

Maximum power point tracking (MPPT) is the key to improve power generation efficiency in photovoltaic power generation system. In this paper, the photovoltaic cell model is established in Matlab/Simulink platform, and the output characteristics of photovoltaic cells under different light and temperature are simulated and analyzed. In order to solve the problems of misjudgment, oscillation and tracking velocity of traditional perturbation observation method , a control strategy with variable step size disturbance observation method is proposed. The simulation results show that the improved disturbance observation method has good dynamic tracking speed and steady-state tracking accuracy, and can effectively eliminate the shortcomings of fixed step disturbance observation method.

Citation Download Citation

Hui Zhou, Biao Zhang, and Jue Su "Model of photovoltaic cell and maximum power point tracking control strategy based on improved variable step-size perturb and observe algorithm", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123431M (14 October 2022); https://doi.org/10.1117/12.2648143

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