%T Performance Analysis of High Gain Z-Source DC-DC Boost Converter
%A R. Kumar
%A R. Kannan
%A N.B.M. Nor
%I Institute of Electrical and Electronics Engineers Inc.
%X With the increasing trend in energy demand, researchers are moving towards renewable energy sources (RESs). However, RESs such as, fuel cell or photovoltaic panel offers low output voltage, and it is essential to step-up this low voltage before connecting to the grid or an inverter in two stage power conversion system. The Z-network converter could be used for DC-DC conversion to enhance renewable energy sources voltage. however, boost capabilities of conventional Z-source DC-DC converter (ZSC) are limited, and utilization of higher part count makes it bulky and expensive. In this paper, a new design of ZSC is presented that offers higher gain at smaller duty cycle. Besides, the performance of proposed converter is analyzed with parasitic parameters to validate the proposed design. Moreover, the PI controller is designed for the proposed converter to maintain the constant output voltage to the desired value. The values of proportional and integral (P and I) terms are calculated based on the PID tuning method and the transfer function of the proposed system is achieved using the system identification toolbox (SIT) in MATLAB. Moreover, The performance of proposed converter is compared with recently proposed Hybrid ZSC and conventional ZSC. The simulation studies for the proposed design, conventional ZSC, and Hybrid ZSC are carried out in Simulink software and the outcome verified the superiority of the proposed converter over conventional converters. © 2021 IEEE.
%K DC-DC converters; Fuel cells; HVDC power transmission; MATLAB; Natural resources; Photoelectrochemical cells; Proportional control systems; Renewable energy resources, Dc - dc boost converters; Energy demands; High gain; High voltage gain; Performance; Performances analysis; Renewable energies; Renewable energy source; Switched Z-source; Z-Source, Solar cells
%O cited By 0; Conference of 8th International Conference on Intelligent and Advanced Systems, ICIAS 2021 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:175661
%L scholars15445
%J International Conference on Intelligent and Advanced Systems: Enhance the Present for a Sustainable Future, ICIAS 2021
%D 2021
%R 10.1109/ICIAS49414.2021.9642507