| Author Name | Affiliation | Postcode | | Sachin Thakur | Electrical Engineering Department, Chandigarh University, Mohali 140 413, Punjab, India | 140 413 | | Akhil Gupta* | Electrical Engineering Department, I.K. Gujral Punjab Technical University Main Campus, Kapurthala 144 603, Punjab, India | 144 603 | | Kamal Kant Sharma | Electrical Engineering Department, Chandigarh University, Mohali 140 413, Punjab, India | 140 413 |
|
| Abstract: |
| Multilevel Inverters (MLIs) are vital for converting the DC output from Solar Photovoltaic (SPV) systems into high-quality Alternating Current (AC) waveforms for grid integration or load packages. This study examines the optimization of Cascaded H-Bridge (CHB) MLIs with 7, 9, and 11 voltage levels using the Support Vector Machines (SVM) technique. The goal is to evaluate the performance of these MLI configurations by estimating Total Harmonic Distortion (THD), with and without SVM optimization. The proposed system integrates the Maximum Power Point Tracking (MPPT) technique to extract maximum power from SPV systems. Detailed Simulink models were developed for each MLI configuration, simulating their operation with MPPT control. Findings indicate that SVM optimization is effective at reducing THD, with 11-level MLIs achieving the greatest decrease to less than 7%. The appearance of SVMs is effective in improving the performance of MLIs, providing information on the complexity-performance trade-off of inverters. This study leads to the optimization of SPV systems by combining superior device mastering techniques with a multilevel inverter. |
| Key words: multilevel, harmonic, machine learning, optimization, photovoltaic, cascaded bridge |
| DOI：10.11916/j.issn.1005-9113.2024121 |
| Clc Number:TM615 |
| Fund: |
|
| Descriptions in Chinese: |
| Multilevel Inverters (MLIs) are vital for converting the DC output from Solar Photovoltaic (SPV) systems into high-quality Alternating Current (AC) waveforms for grid integration or load packages. This study examines the optimization of Cascaded H-Bridge (CHB) MLIs with 7, 9, and 11 voltage levels using the Support Vector Machines (SVM) technique. The goal is to evaluate the performance of these MLI configurations by estimating Total Harmonic Distortion (THD), with and without SVM optimization. The proposed system integrates the Maximum Power Point Tracking (MPPT) technique to extract maximum power from SPV systems. Detailed Simulink models were developed for each MLI configuration, simulating their operation with MPPT control. Findings indicate that SVM optimization is effective at reducing THD, with 11-level MLIs achieving the greatest decrease to less than 7%. The appearance of SVMs is effective in improving the performance of MLIs, providing information on the complexity-performance trade-off of inverters. This study leads to the optimization of SPV systems by combining superior device mastering techniques with a multilevel inverter. |
