Abstract
In order to make full utilization of photovoltaic (PV) array output power, which depends on solar irradiation and ambient temperature, maximum power point tracking (MPPT) techniques are employed. Among all the MPPT strategies, the Perturb and Observe (P&O) algorithm is more attractive due to its simple control structure. Nevertheless, steady-state oscillations always appear due to the perturbation. In this paper, forecasting model of maximum power point (MPP) based on Support Vector Machine (SVM) is established, and a new MPPT algorithm composed of the forecasting model and small step P&O is presented. Experimental results show that SVM model could predict the MPP exactly, and the effectiveness of the proposed MPPT algorithm is validated using hardware platform based on single-chip microcomputer.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
