@Article{cmes.2025.063954,
AUTHOR = {Xiangyang Cao, Yaojie Zheng, Hanbin Xiao, Min Xiao},
TITLE = {Maximum Power Point Tracking Control of Offshore Wind-Photovoltaic Hybrid Power Generation System with Crane-Assisted},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {143},
YEAR = {2025},
NUMBER = {1},
PAGES = {289--334},
URL = {http://www.techscience.com/CMES/v143n1/60483},
ISSN = {1526-1506},
ABSTRACT = {This study investigates the Maximum Power Point Tracking (MPPT) control method of offshore wind-photovoltaic hybrid power generation system with offshore crane-assisted. A new algorithm of Global Fast Integral Sliding Mode Control (GFISMC) is proposed based on the tip speed ratio method and sliding mode control. The algorithm uses fast integral sliding mode surface and fuzzy fast switching control items to ensure that the offshore wind power generation system can track the maximum power point quickly and with low jitter. An offshore wind power generation system model is presented to verify the algorithm effect. An offshore off-grid wind-solar hybrid power generation system is built in MATLAB/Simulink. Compared with other MPPT algorithms, this study has specific quantitative improvements in terms of convergence speed, tracking accuracy or computational efficiency. Finally, the improved algorithm is further analyzed and carried out by using Yuankuan Energy’s ModelingTech semi-physical simulation platform. The results verify the feasibility and effectiveness of the improved algorithm in the offshore wind-solar hybrid power generation system.},
DOI = {10.32604/cmes.2025.063954}
}