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Hybrid algorithm for MPPT tracking using a single current sensor for partially shaded PV systems

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 2022年第PartA期53卷

作者： Balaji, V Fathima, A. Peer Vellore Inst Technol Sch Elect Engn Vandalur Kelambakkam Rd Chennai 600127 Tamil Nadu India

The power voltage characteristics of a photovoltaic array under partially shaded conditions is highly non linear and it exhibits multiple local peaks and a global peak. The maximum power is harvested from the photovoltaic panel only when the global peak is tracked. Many control algorithms were proposed in the past decades to track maximum power especially during partially shaded conditions. However, the control algorithms are still facing problems like slow convergence, more oscillations during tracking, and complexity in implementation. etc. In this work, a single sensor hybrid MPPT algorithm for battery charging application is proposed. The hybrid algorithm is a combination of salp swarm algorithm and conventional perturb and observe technique and it uses only battery charging current for tracking the maximum power. The performance of the algorithm has been tested under uniform and partially shaded conditions using MATLAB simulation and hardware prototype. The obtained results are compared against single sensor based grey wolf algorithm and sine cosine algorithm. The results show fast and accurate tracking of maximum power under uniform and dynamic shaded conditions.

关键词： Maximum power point tracking Salp swarm optimization single senor algorithms Optimization algorithms Grey wolf optimization Perturb and observe tracking

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