A Modified perturb-and-observe-based Maximum Power Point Tracking Technique for Photovoltaic Energy Conversion Systems

One of the most widely used maximum power point tracking (MPPT) methods in photovoltaic systems (PVSs) is perturb and observe (P&O) method due to its simplicity, ease of use, and acceptable performance. However, it has two important drawbacks: (1) the undesirable fluctuations around the maximum...

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Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2019-10, Vol.30 (5), p.822-831
Main Authors: Rezaei, Mohammad Mahdi, Asadi, Hassan
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Control
Control and Systems Theory
Electrical Engineering
Energy conversion
Engineering
Incremental conductance
Irradiation
Maximum power tracking
Mechatronics
Perturbation
Photovoltaic cells
Robotics
Robotics and Automation
Variations
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Summary:One of the most widely used maximum power point tracking (MPPT) methods in photovoltaic systems (PVSs) is perturb and observe (P&O) method due to its simplicity, ease of use, and acceptable performance. However, it has two important drawbacks: (1) the undesirable fluctuations around the maximum power point (MPP) under steady-state environmental conditions; (2) the tracking deviation under sudden change as well as gradual variation in the irradiation conditions. This paper proposes a simple modified P&O-based MPPT method for PVSs in which the perturbation size is adaptively determined in such a way that the convergence speed to the MPP is increased and the undesirable oscillations around the MPP are decreased. In addition, the direction of the perturbations is determined on the basis of incremental conductance MPPT method so that the proposed algorithm is capable to extract the maximum power from the PVS, even under sudden or gradual variation in solar irradiation. The validity and effectiveness of the proposed algorithm are investigated using time-domain simulations in the MATLAB ® software environment.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-019-00495-6