Abstract
This paper addresses the problem of maximum power point tracking for photovoltaic grid-connected system based on Markov model. Considering the stochastic characteristic of solar irradiation, a new maximum power point tracking method based on Markov model is proposed. Four discrete states are defined from a Markov chain according to the collected solar irradiation data, then the probability transition matrix is obtained. The maximum power point and the corresponding duty ratio after the solar irradiation changed can be estimated by the probability transition matrix and the previous state, the tracking results will be more accurate by adjusting the estimated duty ratio. Finally, simulation results are provided to illustrate the effectiveness of the proposed algorithm.
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.
