Maximum power point tracking of photovoltaic under partial shading condition with dual-sepic converter considering dynamic load

Abstract

Solar power generation is suited for clean energy and meeting the increasing energy demands owing to its abundance and easy maintenance. However, is has low efficiency as maximum power is not extracted from the photo-voltaic panel due to solar irradiance obstruction causing partial shading condition. This condition creates multiple power peaks of which the maximum power peak is selected for maximum power utilization. To achieve this, a tracker based on spring search algorithm integrated with perturb and observe algorithm (SSA-PO), and operationally tied with DC-DC boost converter was developed for maximum power point tracking of the photovoltaic system at constant solar irradiance and during partial shading conditions. This generated a tracking efficiency of 97.8% at PSC1, 96.3% at PSC2 and 96.9% at PSC3, therefore, yielding an improvement of 0.15% and 2.29% during constant and partial shading conditions, and tracking time was 6.8% and 2.5% improvement when compared with the result of artificial bee colony algorithm with perturb and observe (ABC-PO). Furthermore, considering load variation at the output terminal, a Dual-Sepic converter that operate with the developed algorithm was modelled for efficient tracking of power under constant, partial solar irradiance and dynamic load conditions. The Dual-Sepic converter with developed algorithm has a faster tracking time 0.05 seconds and 1.01 seconds compare to the developed method with boost converter at constant and PSC, which is commendable in PV system operating under dynamic load conditions.