Research on photovoltaic array MPPT based on IPSO-IP&O hybrid algorithm

• Published in: Proceedings of SPIE, the international society for optical engineering Vol. 13513; pp. 135132L - 135132L-7
• Main Authors: Li, Yao, Li, Yan, Zheng, Yanxuan, Zhang, Ji
• Format: Conference Proceeding
• Language: English
• Published: SPIE 15.01.2025
• ISBN: 1510688196; 9781510688193
• ISSN: 0277-786X
• DOI: 10.1117/12.3045724

In photovoltaic power generation systems, there is a problem of shadow shading in photovoltaic cell arrays, resulting in multiple power peaks on their output power voltage curve. At this time, PSO algorithm in Maximum Power Tracking(MPPT) has the disadvantages of slow convergence speed and easy occurrence of premature convergence. This article proposes a hybrid algorithm (IPSO-IP&O) that combines IPSO and Variable Step Size Disturbance Observation (IP&O). Firstly, the IPSO algorithm introduces nonlinear dynamic parameters through adaptive parameter to meet the different needs of MPPT in the early and late stages, track it more quickly, and reduce the possibility of getting stuck in local optimal solutions; Then, the global optimal solution output by the IPSO algorithm is further tracked using the IP&O algorithm to improve accuracy and reduce power oscillations. Using MATLAB/Simulink to simulate the system, and the results show that the IPSO-IP&O algorithm can effectively improve the convergence speed and accuracy of system optimization under shadow occlusion conditions.