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Erschienen in:
Time-Domain Analytical Modeling of Current-Mode Signaling Bundled Single-Wall Carbon Nanotube Interconnects Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Simulation of a Seven Level Inverter and Its Comparison with a Conventional Inverter

verfasst von : Revanth Mallavarapu, Meenakshi Jayaraman, V. T. Sreedevi

Erschienen in: Proceedings of 2nd International Conference on Intelligent Computing and Applications

Verlag: Springer Singapore

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Abstract

Reducing the number of switches in multilevel inverter topologies is drawing incredible interest in renewable energy, motor drive and reactive power compensation applications. This paper focuses on the simulation of a seven level inverter with reduced number of switches. The seven level inverter is based on transistor clamped topology consisting of a single H-bridge inverter with two IGBT switches between two diode bridges. Triple reference single carrier modulation technique is adopted to generate gating pulses for the seven level multilevel inverter with reduced switches. Using this modulation technique, output voltage, output current and voltage stress across the switches are obtained for a modulation index of 0.9 and 1.25. The total harmonic distortion obtained for the various values of modulation index is presented. In addition, a comparison is established with a seven level cascaded H-Bridge inverter with respect to complexity of the circuit topology and total harmonic distortion. Results are obtained and observed using simulations done through MATLAB Simulink simulation tool.

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Vorheriges Kapitel Fuzzy Logic-Based Control in Wireless Sensor Network for Cultivation
Nächstes Kapitel Distinct Exploration on Two-Level and Hybrid Multilevel Converter for Standalone Solar PV Systems
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Metadaten
Titel
Simulation of a Seven Level Inverter and Its Comparison with a Conventional Inverter
verfasst von
Revanth Mallavarapu
Meenakshi Jayaraman
V. T. Sreedevi
Copyright-Jahr
2017
Verlag
Springer Singapore
Buch
Proceedings of 2nd International Conference on Intelligent Computing and Applications

Print ISBN: 978-981-10-1644-8

Electronic ISBN: 978-981-10-1645-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-981-10-1645-5_24