A Selective Power Point Tracking Algorithm for Reduced Power Tracking in PV System

V. BALAJI, A. PEER FATHIMA

Abstract


: The integration of photovoltaic (PV) systems with microgrid and hybrid power systems is increasing nowadays due to its continuous power production in the daytime. However, when the load demand is less, the maximum power produced by the PV may overload the connected system. In this work, a selective power point (SPPT) tracking technique is proposed for tracking reduced power from PV. Additionally, the SPPT algorithm is combined with salp swarm perturb and observe method (SSPO) to track the maximum power whenever needed. The proposed algorithm works in two modes and are global mode and local mode. During local mode, SSPO is executed for tracking the maximum power and in the local mode SPPT algorithm is used for tracking the reduced power from PV. The performance of the proposed algorithm is validated under three different complex irradiation patterns using MATLAB simulations. The results show effective tracking under both global and local modes with less tracking time.


Keywords


Renewable energy, Solar PV

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v12i1.12433.g8415

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