Maximum Power Point Tracking for Photovoltaic Systems Operating under Partially Shaded Conditions Using SALP Swarm Algorithm

نویسندگان

چکیده

This article presents a new method based on meta-heuristic algorithm for maximum power point tracking (MPPT) in photovoltaic systems. In this method, the SALP Swarm Algorithm (SSA) is used instead of classic methods such as Perturb and Observe (P&O) method. value duty cycle optimally determined an optimization problem by SSA order to track power. The objective function maximizing output system. proposed has been applied system connected load, taking into account effect partial shade different atmospheric conditions. compared with Particle Optimization (PSO) P&O methods. Additionally, we evaluated changes temperature radiation solving problem. results simulation MATLAB/Simulink environment show optimal performance conditions other To validate algorithm, it four important indexes: ISE, ITSE, IAE, ITAE.

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ژورنال

عنوان ژورنال: Energies

سال: 2022

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en15218210