Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique

نویسندگان

چکیده

The power versus voltage curves of solar photovoltaic panels form several peaks under fractional (partial) shading conditions. Traditional maximum output tracking (MPPT) techniques fail to achieve global peak at the terminals. proposed Cat Swarm Optimization (CSO) method intends apply MPPT extract maxima from shaded systems. CSO is a robust and powerful metaheuristic swarm-based optimization technique that has received very positive feedback since its emergence. It been used solve variety issues, variations have developed. CSO-based can successfully tackle two major issues PV system during conditions, including random oscillations caused by conventional loss. extensively in comparison algorithms like Perturb Observe (P O) technique. main objective speed for extracting Maximum Power Point (MPP) Photovoltaic (PV) conditions using CSO. Modeling array MATLAB/Simulink platform comprises module, switching converter (Boost Converter), load. PSO are applied module different weather algorithm compared according simulation results, revealing provide better accuracy faster speed.

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ژورنال

عنوان ژورنال: Sustainability

سال: 2021

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su131911106