PERFORMANCE ANALYSIS OF A QUASI-Z-SOURCE CONVERTER FOR SOLAR PHOTO VOLTAIC SYSTEM POWERED WATER PUMPING SYSTEM

Solar Photo Voltaic system (SPVS)-based water pumping has been gaining wonder attention because it serves as an effective alternative to traditional energy sources in remote areas. In this paper, an SPV panel is connected to pumping applications through back-to-back converter arrangements. This proposed work three different DC/DC boost converter comprises a conventional boost converter (BC), Z-source boost converter (ZSC) and Quasi Z-Source Boost Converter (QZSC) at the front-end for dc integration of SPVS and a three-phase voltage source inverter (VSI) at the back-end, and it fed a Brushless DC Motor (BLDC) motor is connected. The dc link capacitor is connected in between the converter and inverter system. The front-end converter is employed to regulate the dc voltage obtained from the SPVS and the maximum power is extracted by adopting two different algorithms of Incremental Conductance Maximum Power Point Tracking (INC-MPPT) technique and INC trained artificial neural network (INC-ANN-MPPT). The back end two controller proposed to operation of VSI such as conventional MPP DC link voltage (V dc ) reference and closed loop speed dual tuned PID (VSDT-PID). The conventional control trained ANN controller (VSDT -ANN) with hall effect feedback to optimal operation of motor speed. The back-end converter is employed to regulate the speed of the water flow by controlling the speed of the BLDC motor, irrespective of the irradiance level of SPV. By altering the dc link voltage, the BLDC motor’s different configuration PV insolation and motor load torque. To analysis different configuration conversion system power extraction, transient, settling time, voltage, current and speed deviation of the proposed conversion system, and then compared with the implemented conversion system in MATLAB/ Simulink platform.