Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/20913
Title: ANALYSIS OF VSI-FED INDUCTION MOTOR DRIVE FOR SOLAR PUMP IRRIGATION SYSTEMS
Authors: Maurya, Jyoti
Issue Date: May-2022
Publisher: IIT Roorkee
Abstract: It is a big threat to fulfill the requirement of electrical energy for the growing population of the country. Since the conventional sources of energy are not sufficient and reserves are decaying rapidly. Solar energy has risen to prominence as a result of its ample supply and dependability. Since power coming out from renewable sources (Solar energy) cannot be directly fed to the electrical machine and convention grid. Therefore, smart devices are needed which can integrate this type of source into electrical machines and conventional grids. Solar PV is currently suitable for water pumping systems for irrigation as well as home applications. In places where there are abundant sun rays and desirable Electricity generation systems are available, Photovoltaic array-fed water pumping systems (PVWPS) are incrementally used in these areas. In agriculture production, India is a developing country. It has an important contribution to the economy of the agriculture sector. The system comprises a dc/dc converter, solar array, VSI, and Induction Motor drive with pump load. Dynamic modeling of the system is developed and simulated in MATLAB/SIMULINK software. The system evaluation alters because of variations in solar irradiance and temperature. As a result, the performance of the system with maximum power point tracking (MPPT) has been tested with the usage of a dc/dc converter in order to harvest maximum power from the PV array. Induction motor drives speed can be controlled by using an efficient direct torque control (DTC) technique. The efficiency of the system is shown by the simulation result at a specific speed of the motor and the Incremental conductance (INC) MPPT technique. Hence, the efficiency can be improved, and by using non-conventional sources of energy the performance of the system can be optimized economically.
URI: http://localhost:8081/jspui/handle/123456789/20913
Research Supervisor/ Guide: Chelliah, Thanga Raj
metadata.dc.type: Dissertations
Appears in Collections:MASTERS' THESES (WRDM)

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