Design and Simulation of a Novel Nine Level Inverter Topology for Motor Application
Ruchika Sharma1, Shimi Sudha Letha2, Rohit kumar3
1Ruchika Sharma,M.E Scholar, Electrical Engineering Department, NITTTR , Chandigarh, India.
2Dr. Shimi Sudha Letha, Assistant Professor, Electrical Engineering Department, NITTTR, Chandigarh, India.
3Rohit Kumar, Research Scholar Electrical Engineering Department Indian Institute of Technology, Delhi, India.
Manuscript received on 23 August 2019. | Revised Manuscript received on 01 September 2019. | Manuscript published on 30 September 2019. | PP: 825-830 | Volume-8 Issue-11, September 2019. | Retrieval Number: K14950981119/2019©BEIESP | DOI: 10.35940/ijitee.K1495.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the couple of years, the demand of multilevel inverter has expeditiously increased in the field of utilization of electrical energy. Because the multilevel inverter is a key technology to integrate the different renewable energy sources (wind, solar etc) with the grid. In this research work, authors have configured a novel topology of nine level multilevel inverter has less number of switches with dc voltage sources. The presented approach has been designed to 9-level inverter with seven unidirectional switches with voltage sources. It comprises of an H-bridge which synthesize to ac voltage by utilizing almost all possible additive and subtractive cases of the voltage sources with its combinational power switches and generated optimal firing angles using selective harmonic elimination method with Genetic Algorithm to decrease the lower order harmonic present in the output voltage of the, which supplied by the presented nine-level inverter. It has been concluded that presented approach use a less number of power switches in drive circuit and the number of dc voltage sources also make a simple circuit and enhance the efficiency of the complete system.
Keywords: Selective harmonic elimination(SHE); Genetic algorithm (GA); Multilevel-inverter
Scope of the Article: Simulation Optimization and Risk Management