Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

<Previous Article In Volume
Next Article In Volume>

Battery Supported Solar PV Panel Based Multilevel Inverter with Optimal PI Controller Using Hybrid GA-PSO Algorithm

Authors
Thota Srinivas1, *, K. Krishna Veni2, P. Satish Kumar1
1Department of Electrical Engineering, University College of Engineering (Autonomous), Osmania University, Hyderabad, Telangana, 500007, India
2Department of EEE, Chaitanya Bharathi Institute of Technology (Autonomous), Hyderabad, Telangana, 500075, India
*Corresponding author. Email: pace.thota@gmail.com
Corresponding Author
Thota Srinivas
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_73How to use a DOI?
Keywords
Multilevel Inverter; Optimization; Photovoltaic Systems; Energy Storage Devices
Abstract

In recent years, multilevel inverters (MLIs) have found major applications in motor control and renewable energy systems (RES). Solar photovoltaic (PV) arrays have varied output voltages and require the support of battery energy storage systems (BESS) to maintain controlled output. The use of modular MLI configurations in multiple solar PV units makes it easier to regulate the output voltage waveform and reduce total harmonic distortions (THDs). In this work, we propose a 15-level MLI configuration with a reduced number of switches for battery-supported solar PV applications. To reduce the THDs of the inverter and improve control, we propose a hybrid optimization algorithm that combines the benefits of a genetic algorithm (GA) and particle swarm optimization (PSO). The simulation results show good output performance with low THD levels.

Copyright
© 2023 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-252-1_73
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_73How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Thota Srinivas
AU  - K. Krishna Veni
AU  - P. Satish Kumar
PY  - 2023
DA  - 2023/11/09
TI  - Battery Supported Solar PV Panel Based Multilevel Inverter with Optimal PI Controller Using Hybrid GA-PSO Algorithm
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 728
EP  - 735
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_73
DO  - 10.2991/978-94-6463-252-1_73
ID  - Srinivas2023
ER  -