Abstract
This paper aims to study the behavior of different Maximum Power Point Tracking (MPPT) algorithms applied to an autonomous Wind Electric Water Pumping System. In this work a different configuration of a wind pumping system has been proposed and studied. It’s compound of a wind turbine, a Permanent Magnet Synchronous Generator (PMSG), an AC/DC converter, a DC/DC boost converter and a centrifugal pump driven by Permanent Magnet DC (PMDC) motor. The ultimate goal is to obtain the maximum water flow rate by maximizing the power from the wind turbine using an MPPT controller. Therefore three optimization methods Perturb and Observe (P&O), Incremental Conductance (INC) and Fuzzy Logic Controller (FLC) were developed, compared and evaluated. The obtained results show that the MPPT controller based on Fuzzy Logic ensures a high performance and a good ability to achieve the optimal power using fewer sensors comparing with the two others conventional methods.
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