Abstract
A new triple voltage boosting switched-capacitor multilevel inverter (SCMLI) is presented in this paper. It can produce 13-level output voltage waveform by utilizing 12 switches, three diodes, three capacitors, and one DC source. The capacitor voltages are self-balanced as all the three capacitors present in the circuit are connected across the DC source to charge it to the desired voltage level for several instants in one fundamental cycle. A detailed comparative analysis is carried to show the advantages of the proposed topology in terms of the number of switches, number of capacitors, number of sources, total standing voltage (TSV), and boosting of the converter with the recently published 13-level topologies. The nearest level control (NLC)-based algorithm is used for generating switching signals for the IGBTs present in the circuit. The TSV of the proposed converter is 22. Experimental results are obtained for different loading conditions by using a laboratory hardware prototype to validate the simulation results. The efficiency of the proposed inverter is 97.2% for a 200 watt load.
Highlights
In recent times, multilevel inverters (MLIs) have been used as a potential solution for DC to AC conversion for various applications such as renewable energy conversion systems, high power drives, a high-voltage direct current (HVDC) transmission system, a distributed power generation system, etc
Simulation results and hardware results of the proposed 13-level inverter topology is presented for different loading conditions
The effect of load change on load voltage, Vc1, Vc2, Vc3 and load current is shown in Figure 7c, when load is changed from R to series connected R and L load
Summary
Mohammad Tayyab 1 , Adil Sarwar 1, * , Irfan Khan 2, * , Mohd Tariq 1, * , Md Reyaz Hussan 1 , Shadab Murshid 3 and Waleed Alhosaini 4,5. Inverter with Triple Voltage Boosting and Reduced Component Count. Clean and Resilient Energy Systems (CARES) Lab, Texas A & M University, Galveston, TX 77553, USA. Engineering and Applied Sciences Research Unit, Jouf University, Sakaka 72388, Saudi Arabia
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