Optimization and implementation of a photovoltaic pumping system using the sine–cosine​ algorithm

Abstract

Recently, a particular and considerable attention has been paid to photovoltaic pumping systems in reasoning their operation based on renewable and clean energy. In this sense, we suggest an optimum photovoltaic pumping system based on the monitoring of the maximum power point by the sine cosine optimization algorithm in the meteorological conditions of the village of Ain Beda which is located in the region of Fez–Meknes, Morocco. The objective of the proposed system is to ensure operation at maximum power during the pumping process by directly and intelligently controlling the photovoltaic pumping system by the sine–cosine algorithm under various climatic conditions in this region. A comparative study at the statistical and qualitative levels was carried out on the one hand between the proposed method and two other conventional algorithms such as perturb and observe and fuzzy logic control and on the other hand with other metaheuristic algorithms. The simulation results show the efficiency of the proposed photovoltaic pumping system in terms of fast-tracking time, accelerated convergence speed, very low initial oscillation, very low steady-state oscillations around the maximum power point, the dynamic performance of the flow which reaches 31.15 m3/h, and efficiency of the photovoltaic pumping system which reaches 84.88% in different weather conditions. Moreover, the suggested system is validated following the V-cycle validation and verification process by integrating the generated embedded software on a “Raspberry Pi 2 Model B” embedded board.