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