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      • KCI등재

        Analysis and Implementation of PS-PWAM Technique for Quasi Z-Source Multilevel Inverter

        R.Seyezhai,D.Umarani 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.2

        Quasi Z-Source Multilevel Inverter (QZMLI) topology has attracted grid connected Photovoltaic (PV) systems in recent days. So there is a remarkable research thrust in switching techniques and control strategies of QZMLI. This paper presents the mathematical analysis of Phase shift- Pulse Width Amplitude Modulation (PS-PWAM) for QZMLI and emphasizes on the advantages of the technique. The proposed technique uses the maximum and minimum envelopes of the reference waves for generation of pulses and proportion of it to generate shoot-through pulses. Hence, it results in maximum utilization of input voltage, lesser switching loss, reduced Total Harmonic Distortion (THD) of the output voltage, reduced inductor current ripple and capacitor voltage ripple. Due to these qualities, the QZMLI with PS-PWAM emerges to be the best suitable for PV based grid connected applications compared to Phase shift-Pulse Width Modulation (PS-PWM). The detailed math analysis of the proposed technique has been disclosed. Simulation has been performed for the proposed technique using MATLAB/Simulink. A prototype has been built to validate the results for which the pulses were generated using FPGA /SPARTAN 3E.

      • SCIESCOPUSKCI등재

        Analysis and Implementation of PS-PWAM Technique for Quasi Z-Source Multilevel Inverter

        Seyezhai, R.,Umarani, D. The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.2

        Quasi Z-Source Multilevel Inverter (QZMLI) topology has attracted grid connected Photovoltaic (PV) systems in recent days. So there is a remarkable research thrust in switching techniques and control strategies of QZMLI. This paper presents the mathematical analysis of Phase shift- Pulse Width Amplitude Modulation (PS-PWAM) for QZMLI and emphasizes on the advantages of the technique. The proposed technique uses the maximum and minimum envelopes of the reference waves for generation of pulses and proportion of it to generate shoot-through pulses. Hence, it results in maximum utilization of input voltage, lesser switching loss, reduced Total Harmonic Distortion (THD) of the output voltage, reduced inductor current ripple and capacitor voltage ripple. Due to these qualities, the QZMLI with PS-PWAM emerges to be the best suitable for PV based grid connected applications compared to Phase shift-Pulse Width Modulation (PS-PWM). The detailed math analysis of the proposed technique has been disclosed. Simulation has been performed for the proposed technique using MATLAB/Simulink. A prototype has been built to validate the results for which the pulses were generated using FPGA /SPARTAN 3E.

      • Implementation of Adaptive Fuzzy Logic Control Based MPPT for Photovoltaic System

        A. Bharathi Sankar,R. Seyezhai 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.10

        Recently, photovoltaic (PV) system has emerged as a promising renewable energy source to meet out the increasing energy demand. This PV cell has to optimally operate at a particular point to deliver maximum power called maximum power point (MPP). This paper presents an adaptive fuzzy logic control (AFLC) for the maximum power point tracking (MPPT) algorithm for photovoltaic power generation system. The main idea of the proposed algorithm is the application of fuzzy controller with an adaptive gain as a maximum power point tracker. It adjusts the duty cycle of the boost converter as well as controller’s gain. The performance of AFLC is compared with the conventional fuzzy controller for varying irradiance. Simulation studies of AFLC are carried out in MATLAB. The experimental results show the effectiveness and feasibility of the proposed controller and the results were verified. The results reveal that the adaptive FLC can quickly track change of MPP in different light intensity and deliver more power compared to the classical fuzzy logic controller.

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