An observer‐based current reconstruction of induction motor driven water pump with improved power flow control by ANN based DPC of PV‐grid interactive system

Abstract

Abstract An efficient power sharing between the solar PV array and the utility is the core aim of this work. A mechanical sensorless direct torque controlled (DTC) induction motor (IM) is implemented for the water pumping application. The PV array is operated at maximum power point (MPP), ensuring full utilization. Therefore, the integrated system ensures uninterrupted power for water pump operation regardless of the irradiance level. For serving the purpose of grid integration and IM control, two voltage source converters (VSCs) are used. The two VSCs share a common DC link. An artificial neural network (ANN) based direct power control is utilized to maintain the power transfer in both directions between the PV array‐grid integration and an induction motor drive with a water pump. Moreover, an observer based current adaptive approach is used for motor current estimation from a single current sensor used for DC link current sensing. The overall system comprising of the three‐phase grid in conjugation with PV array operating induction motor drive used for water pumping, is simulated and verified through test results. MATLAB/Simulink environment with Sim‐power system toolbox is used to perform the software simulation. In the laboratory, a test bed of grid connected water pumping system is developed.

Keywords

• Power electronics, supply and supervisory circuits
• Solar power stations and photovoltaic power systems
• Asynchronous machines
• Power applications in water treatment and supply
• Power and energy control
• Mechanical variables control