Contribution to Power Maximization of an Asynchronous Wind Electric Water Pumping System Using Single Input Fuzzy Logic Controller & Modified Enhanced Perturb and Observe

This paper investigates the efficiency of an original approach for Maximum Power Point Tracking (MPPT) algorithm applied to a Wind Electric Water Pumping System (WEWPS). The studied model is developed under Matlab/Sim-ulink software and consists of an asynchronous wind turbine, a Static Var Com-pensator (SVC) and a centrifugal water pump driven by a three phase Induction Motor (IM). The proposed control technique seeks to improve water flow rate by exploring the maximum amount of electrical power produced by the asynchro-nous wind turbine in a wide range of wind speed. Theoretical analysis as well as simulation results have shown that the highest electrical power rate depends on the value of the produced voltage which can be controlled by the SVC using single input fuzzy logic regulator. Modified Enhanced Perturb and Observe (MEPO) algorithm is then used in this application to calculate the optimal value of the voltage reference that ensure maximum electric power extraction and hence maximal water flow rate. Moreover, a comparison have been made with the conventional P&O algorithm to prove the superior performance of the proposed approach which does neither require to measure wind speed nor to know the WEWPS parameters