Elimination of Lower Order Harmonics in Modified Reduced Switched 7-Level Multilevel Inverter Using Artificial Neural Network

Authors

  • Parul Oza, Sweta Shah, Tejas B. Maniar, Mansi Kothari, Ajit Rathod, Ashok vaghmashi

Keywords:

Multilevel Inverter (MLI), Selective Harmonic Elimination (SHE), Newton Raphson (NR), Artificial Neural Network (ANN).

Abstract

Multilevel inverters, or MLIs, are finding increasing use in electric vehicles, drives, renewable energy systems, and other applications. The best power conversion and stepped output are provided by Multilevel Inverters (MLI). Selective harmonic elimination pulse width modulation, or SHEPWM, is a modulation technique that is commonly used to eliminate low-order harmonics from the output waveform of MLIs. This paper solves the transcendental nonlinear output equations of multilayer inverters (MLI) using Newton Raphson's (NR) approach. The suggested reduced switched Multilevel Inverter uses the NR technique. Additionally, lower harmonics (such as the third, fifth, seventh, etc.) S that are more dangerous and challenging to eliminate using filters are being decreased through the use of artificial neural networks (ANNs) in the proposed reduced switched 7 levels MLI. The THD comparison in the proposed reduced switched 7 levels MLI is done between PWM, SHE-NR, and SHE-ANN. The comparison and outcome are displayed in MATLAB simulation results. This paper also emphasizes the creation of a modified multilevel inverter and its significance. This work aims to encourage and direct society toward the development of an affordable, efficient multilevel inverter that combines the capabilities of various converters documented in the literature.

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References

M. Salem, A. Richelli, D. Ishak, “Review of multilevel inverters for PV energy system applications,” Energies, vol. 14, no. 6. MDPI AG, Mar. 01, 2021, doi: 10.3390/en14061585.

P. Ponnusamy et al., “A new multilevel inverter topology with reduced power components for domestic solar PV applications,” IEEE Access, vol. 8, pp. 187483–187497, 2020, doi: 10.1109/ACCESS.2020.3030721.

P. R. Bana, K. P. Panda, S. Padmanaban, L. Mihet-Popa, G. Panda, and J. Wu, “Closed-Loop Control and Performance Evaluation of Reduced Part Count Multilevel Inverter Interfacing Grid-Connected PV System,” IEEE Access, vol. 8, pp. 75691–75701, 2020, doi: 10.1109/ACCESS.2020.2987620

M. M. A. Alakkad, D. Tunggal, D. Tunggal, M. Rasheed, D. Tunggal, and R. Omar, “Harmonic Minimization Using Artificial Neural Network Technique For CHB-ML Inverter,” no. March, pp. 8–9, 2021.

K. V. Rao and G. J. Rao, “THD Minimization in Cascaded H-Bridge Inverter using Optimal Selective Harmonic Elimination,” Int. J. Recent Technol. Eng., vol. 10, no. 2, pp. 170–174, Jul. 2021, doi: 10.35940/ijrte.B5984.0710221.

K. P. Panda, R. T. Naayagi, P. Siano, and G. Panda, “Recently Developed Reduced Switch Multilevel Inverter for Renewable Energy Integration and Drives Application: Topologies, Comprehensive Analysis and Comparative Evaluation,” IEEE Access, vol. 7, pp. 54888–54909, 2019, doi: 10.1109/ACCESS.2019.2913447.

M. A. Memon, S. Mekhilef, and M. Mubin, “Selective harmonic elimination in multilevel inverter using hybrid APSO algorithm,” pp. 1–8, 2018, doi: 10.1049/iet-pel.2017.0486.

H. R. Massrur, T. Niknam, M. Mardaneh, and A. H. Rajaei, “Selective Harmonic Elimination Based on Newton-raphson Method for Cascaded H- bridge Multilevel Inverter,” doi: 10.11591/ijpeds.v8i3.pp1193-1202.

K. P. Panda, S. S. Lee, and G. Panda, “Reduced Switch Cascaded Multilevel Inverter with New Selective Harmonic Elimination Control for Standalone Renewable Energy System,” IEEE Trans. Ind. Appl., vol. 55, no. 6, pp. 7561–7574, Nov. 2019, doi: 10.1109/TIA.2019.2904923.

H. R. Massrur, T. Niknam, M. Mardaneh, and A. H. Rajaei, “Harmonic Elimination in Multilevel Inverters under Unbalanced Voltages and Switching Deviation Using a New Stochastic Strategy,” IEEE Trans. Ind. Informatics, vol. 12, no. 2, pp. 716–725, Apr. 2016, doi: 10.1109/TII.2016.2529589.

W. A. Halim, T. N. A. Tengku Azam, K. Applasamy, and A. Jidin, “Selective harmonic elimination based on newton-raphson method for cascaded H-bridge multilevel inverter,” Int. J. Power Electron. Drive Syst., vol. 8, no. 3, pp. 1193–1202, Sep. 2017, doi: 10.11591/ijpeds.v8i3.pp1193-1202.

M. R. J. Al-hiealy et al., “Management switching angles real-time prediction by artificial neural network,” vol. 23, no. 1, pp. 110–119, 2021, doi: 10.11591/ijeecs.v23.i1.pp110-119.

M. M. A. Alakkad, Z. Rasin, M. Rasheed, W. A. Halim, and R. Omar, “Real-time switching thirteen-level modified CHB-multilevel inverter using artificial neural network technique based on selective harmonic elimination,” Indones. J. Electr. Eng. Comput. Sci., vol. 20, no. 3, pp. 1642–1652, Dec. 2020, doi: 10.11591/ijeecs.v20.i3.pp1642-1652.

M. Shrivastava, “Artificial Neural Network Based Harmonic Optimization of Multilevel Inverter to Reduce THD,” pp. 978–981, 2012, doi: 10.3850/978-981-07-1847-3.

B. G. Babu and R. Kapoor, “ANN based Selective Harmonic Elimination for Cascaded H-Brdige Multilevel Inverter,” pp. 183–188, 2021.Author, F.: Article title. Journal 2(5), 99–110 (2016).

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Published

26.03.2024

How to Cite

Parul Oza. (2024). Elimination of Lower Order Harmonics in Modified Reduced Switched 7-Level Multilevel Inverter Using Artificial Neural Network. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 4535 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6336

Issue

Vol. 12 No. 21s (2024)

Section

Research Article

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