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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The recent advancement in the application of the internet of things in the smart grid has led to an industrial revolution in the power industry. The Industry 4.0 revolution has already set in, allowing computers to interact for an efficient and intelligent approach in solving smart grid issues. multilevel inverters (MLIs) are an integral part of the smart grid system for integrating the distributed generation sources and storage energy systems into the smart grid. It attracted attention in industrial applications as they can handle high power and high voltage with an inherent feature of superior output voltage waveform quality. Moreover, its variant, the switched-capacitor MLI (SCMLI), has the added benefit of lesser DC supply requirement. In this paper, a switched-capacitor multilevel inverter topology has been proposed, which can operate in symmetric and asymmetric mode. The proposed SCMLI generate thirteen and thirty-one level output voltages for symmetric and asymmetric selection of DC voltage sources, respectively. The proposed SCMLI has a smaller number of switching devices for a given output voltage level as compared to other recently proposed topologies. A thorough comparison is presented with the recently proposed topologies on several parameters, including cost function. To validate the proposed topology, symmetric and asymmetric cases were simulated using Matlab® 2018a and the results were verified using an experimental hardware setup.

Details

Title
A Novel Switched-Capacitor Multilevel Inverter Topology for Energy Storage and Smart Grid Applications
Author
Md Reyaz Hussan 1 ; Sarwar, Adil 1   VIAFID ORCID Logo  ; Siddique, Marif Daula 2   VIAFID ORCID Logo  ; Mekhilef, Saad 3   VIAFID ORCID Logo  ; Shafiq, Ahmad 4   VIAFID ORCID Logo  ; Sharaf, Mohamed 4 ; Zaindin, Mazen 5 ; Firdausi, Muhammad 4 

 Department of Electrical Engineering, Aligarh Muslim University, Aligarh 202002, India; [email protected] (M.R.H.); [email protected] (A.S.) 
 Power Electronics and Renewable Energy Research Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia; [email protected] (M.D.S.); [email protected] (S.M.) 
 Power Electronics and Renewable Energy Research Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia; [email protected] (M.D.S.); [email protected] (S.M.); School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Victoria 3122, Australia 
 Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia; [email protected] (M.S.); [email protected] (M.F.) 
 Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh 11421, Saudi Arabia; [email protected] 
First page
1703
Publication year
2020
Publication date
2020
Publisher
MDPI AG
e-ISSN
20799292
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2548435147
Copyright
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.