Abstract
Renewable energy is an attractive solution for water pumping systems particularly in isolated regions where the utility grid is unavailable. An attempt is made to improve the performance of solar photovoltaic water pumping system (SPVWPS) under partial shading condition. Under this condition, the power versus voltage curve has more than one maximum power point (MPP), which makes the tracking of global MPP not an easy task. Two MPP tracking (MPPT) strategies are proposed and compared for tracking MPP of SPVWPS under shading condition. The first method is based on the classical perturb and observe (P&O) and the other method is based on a Salp Swarm Algorithm (SSA). Based on extensive MATLAB simulation, it is found that the SSA method can provide higher photovoltaic (PV) generated power than the P&O method under shading condition. Consequently, the pump flowrate is increased. But, under normal distribution of solar radiation, both MPPT techniques can extract the maximum power but SSA is considered a time-consuming approach. Moreover, SSA is compared with particle swarm optimization (PSO) and genetic algorithm (GA). The obtained results ensure the superiority of SSA compared with PSO and GA. SSA has high successful rate of reaching true global MPP.
Highlights
With regularly lessening natural resources and expanding requests for power, the need to search for alternatives sources of renewable energy is not intense
The application of modern optimization is used to promote the performance of solar photovoltaic array fed water pumping system (SPVWPS) under partial shading
Based global MPP tracking (MPPT) technique is compared with the classical perturb and observe (P&O) method for partially shaded solar photovoltaic water pumping system (SPVWPS)
Summary
With regularly lessening natural resources and expanding requests for power, the need to search for alternatives sources of renewable energy is not intense. According to [28], to guarantee a reliable use of this panel (SPV), it appears necessary to extract the maximum power from it This is achieved by implementing a maximum power point tracking (MPPT) control based on incremental conductance, while to control the induction motor, which is coupled to a voltage source inverter, the author used a simple scalar V/F control. A modified PSO based MPPT algorithm for a PV system operating under PSC, has been proposed by [35] This technique can accurately track the global MPP under different shading patterns. Based on the Grey Wolf Optimization Technique (GWO), authors in [39] proposed a new maximum power detection algorithm dedicated to PV generation systems which is: GWO-MPPT. Different scenarios of PSC are considered to evaluate the reliability of SSA based tracker
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