This paper proposes a new Maximum Power Point Tracking (MPPT) algorithm for photovoltaic applications using the multicellular converter as a stage of power adaptation. The proposed MPPT technique has been designed using a hybrid dynamical approach to model the photovoltaic generator. The hybrid dynamical theory has been applied taking advantage of the particular topology of the multicellular converter. Then, a hybrid automata has been established to optimize the power production. The maximization of the produced solar energy is achieved by switching between the different operative modes of the hybrid automata, which is conditioned by some invariance and transition conditions. These conditions have been validated by simulation tests under different conditions of temperature and irradiance. Moreover, the performance of the proposed algorithm has been then evaluated by comparison with standard MPPT techniques numerically and by experimental tests under varying external working conditions. The results have shown the interesting features that the hybrid MPPT technique presents in terms of performance and simplicity for real time implementation.
|Original language||English (US)|
|Number of pages||11|
|Journal||Journal of Process Control|
|State||Published - Oct 24 2016|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work has been supported and funded by the CEMSE division at KAUST. It has been experimentally validated thanks to the experimental test bench in the LAMIH laboratory in Univ. Lille Nord. The authors would like to thank as well the Laboratory of Process Control where this study has been launched. They also wish to express their gratitude to Mr. Merouane Nouioui for helping during the experimental validation of the algorithm.