Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

A Novel 7-Level Multilevel Inverter with Reduced Switch Count for Standalone Energy Systems Using Hybrid Optimization Techniques

Authors
Archana Tiwari Dwivedi1, *, Rajesh Kumar Rai2, G. Anand Kumar3
1Research Scholar, DepartmentofElectronics&Communication, Madhyanchal Professional University (MPU), Bhopal, MP, India
2Department of Electronics & Communication, Madhyanchal Professional University (MPU), Bhopal, MP, India
3Department of Electronics & Communication, Malla Reddy University (MRU), Maisammaguda, Hyderabad, Telangana, India
*Corresponding author. Email: archanatiwari8@gmail.com
Corresponding Author
Archana Tiwari Dwivedi
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_268How to use a DOI?
Keywords
Firefly algorithm (FA); multilevel inverter (MLI); selective harmonic elimination (SHE). GSO; MFO and PSO
Abstract

Rapid advancements in power electronics have enabled the evolution of multilevel inverters (MLIs) for diverse applications. Compared to traditional two- level inverters, MLIs offer several advantages such as reduced voltage stress, minimized electromagnetic interference, and smaller filter requirements. However, standard MLI configurations often involve a high number of components to achieve more voltage levels. To address this issue, this study introduces a novel 7- level MLI architecture that reduces the number of switching elements, making it suitable for standalone energy systems by enhancing control and minimizing harmonic distortion. A firefly-assisted glowworm swarm optimization (GSO) algorithm is applied for selective harmonic elimination (SHE), while the moth- flame optimization (MFO) technique is utilized to suppress low-order harmonics in the inverter’s output voltage. The study also compares the effectiveness of the firefly algorithm (FA) and particle swarm optimization (PSO) against the MFO method. Additionally, an incremental conductance (IC) algorithm is integrated to improve power extraction efficiency from the energy source. Comprehensive simulations are carried out in MATLAB, with in-depth analysis of each component’s performance. Finally, a prototype system is developed to experimentally validate the proposed MLI using the SHE-based PWM control strategy, and the results are benchmarked against those obtained from traditional PWM control techniques.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_268How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Archana Tiwari Dwivedi
AU  - Rajesh Kumar Rai
AU  - G. Anand Kumar
PY  - 2025
DA  - 2025/11/04
TI  - A Novel 7-Level Multilevel Inverter with Reduced Switch Count for Standalone Energy Systems Using Hybrid Optimization Techniques
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 3218
EP  - 3231
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_268
DO  - 10.2991/978-94-6463-858-5_268
ID  - Dwivedi2025
ER  -