Enhancing Power Quality in Solar-Fed Cascaded Multilevel Inverters: A Comparative Study of Fuzzy Logic and Neural Network Controllers for Output Voltage Regulation

Authors

  • Vinit Kumar Electrical Engineering, Rungta College of Engineering & Technology, Bhilai, India
  • Rejo Roy Electrical Engineering, Rungta College of Engineering & Technology, Bhilai, India
  • Albert John Varghese Electrical Engineering, Rungta College of Engineering & Technology, Bhilai, India
  • Debshree Bhattacharya Electrical Engineering, RSR- Rungta College of Engineering & Technology, Bhilai, India

Keywords:

Solar-fed Cascaded Multilevel Inverters, H-Bridge Multilevel Inverters, Fuzzy Logic Controller, Neural Network Controller, Power Quality, Renewable Energy

Abstract

Solar PV is one of the major sources of renewable energy generation. The global shift towards renewable energy sources necessitates a focus on improving power quality in solar based power generation. Multilevel Inverters are used to feed an AC load, harmonics gets added due to addition of these inverters which can lower the power quality. H-bridge power sharing method is proposed to optimize power quality in the inverters. The proposed system involves connecting each PV panel to an individual dc/ac inverter, which are then interconnected in series to achieve a higher voltage level. This configuration offers several advantages, including improved utilization of PV modules, the ability to integrate diverse sources, and the maintenance of system redundancy through the cascaded inverter setup. Furthermore, this cascaded inverter design eliminates the need for a central dc/ac inverter and per-string dc bus, resulting in increased overall efficiency. The independent voltage control facilitated by the separate dc connections enables unique maximum power point tracking (MPPT) control for each PV module, thereby maximizing the energy harvested from the solar panels. The study investigates the advantages of renewable energy by analyzing the performance of these controllers in terms of voltage stability and harmonic distortion. This research paper presents a comparative study of fuzzy logic and neural network controllers for output voltage regulation, aiming to enhance power quality in these cascaded multilevel inverters.

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References

Rejo Roy and Albert John Varghese, 'PV Power Forecasting using Artificial Neural Networks', Advances and Applications in Mathematical Sciences, Volume 21, Issue 9, July 2022, pp. 4999-5007.

Sourabh Kumar, Rejo Roy, Albert John Varghese and Satyadharma Bharti, 'Grid Integration of PV System using Effective Synchronizing Method', Advances and Applications in Mathematical Sciences, Volume 21, Issue 9, July 2022, pp. 5365-5372.

Purnesh Patel, Rejo Roy, Albert John Varghese and Satyadharma Bharti, 'Review on Multilevel Inverter having Switched Capacitor with Reduced Number of Insulated DC Supplies', Advances and Applications in Mathematical Sciences, Volume 21, Issue 9, July 2022, pp. 5193-5199.

Hemkiran Verma, Albert John Varghese, Rejo Roy and S. Bharti, 'Study and Performance Analysis of Reduced Switch Count Asymmetric 31-Level Inverter', Advances and Applications in Mathematical Sciences, Volume 21, Issue 9, July 2022, pp. 5109-5116.

Rejo Roy, Albert John Varghese, and S. R. Awasthi, 'Compare and Evaluate One Hour Ahead Solar Power Forecasting with ANN Tuned Using Genetic Algorithm and Hybrid Genetics-Based Particle Swarm Optimization', Control Applications in Modern Power Systems: Select Proceedings of EPREC 2021. Singapore: Springer Nature Singapore, 2022, pp. 405-417.

S. Allahabadi, H. Iman-Eini and S. Farhangi, 'Fast Artificial Neural Network Based Method for Estimation of the Global Maximum Power Point in Photovoltaic Systems', IEEE Transactions on Industrial Electronics, vol. 69, no. 6, 2022, pp. 5879-5888. doi: 10.1109/TIE.2021.3094463.

Sarvi, M., and Azadian, A., 'A comprehensive review and classified comparison of MPPT algorithms in PV systems', Energy Systems, 2021. doi:10.1007/s12667-021-00427-x.

R. Lopez-Erauskin, A. Gonzalez, G. Petrone, G. Spagnuolo and J. Gyselinck, 'Multi-Variable Perturb and Observe Algorithm for Grid-Tied PV Systems With Joint Central and Distributed MPPT Configuration', IEEE Transactions on Sustainable Energy, vol. 12, no. 1, Jan. 2021, pp. 360-367.

V. Kumar and M. Singh, 'Derated Mode of Power Generation in PV System Using Modified Perturb and Observe MPPT Algorithm', Journal of Modern Power Systems and Clean Energy, vol. 9, no. 5, September 2021, pp. 1183-1192.

M. N. Ali, K. Mahmoud, M. Lehtonen and M. M. F. Darwish, 'An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems', IEEE Access, vol. 9, 2021, pp. 26420-26430. doi: 10.1109/ACCESS.2021.3058052.

M. Dehghani, M. Taghipour, G. B. Gharehpetian and M. Abedi , 'Optimized Fuzzy Controller for MPPT of Grid-connected PV Systems in Rapidly Changing Atmospheric Conditions', Journal of Modern Power Systems and Clean Energy, vol. 9, no. 2, 2021, pp. 376-383. doi: 10.35833/MPCE.2019.000086

K. Praveena;K. Swarnasri, 'Circulating current harmonics suppression with fuzzy controller in modular multi-level inverter', Materials Today: Proceedings, 2021. doi:10.1016/j.matpr.2020.12.1128

M. M. A. Alakkad, Z. Rasin, M. Rasheed and R. Omar, 'Harmonic Minimization Using Artificial Neural Network Technique For CHB-ML Inverter', IEEE International Conference in Power Engineering Application, 2021, pp. 12 - 17. doi: 10.1109/ICPEA51500.2021.9417759.

M. Manoharsha, B. G. Babu, K. Veeresham and R. Kapoor , 'ANN based Selective Harmonic Elimination for Cascaded H-Brdige Multilevel Inverter', 7th International Conference on Electrical Energy Systems, 2021, pp. 183-188. doi: 10.1109/ICEES51510.2021.9383672.

F. Saeed, M. H. Yousuf, H. A. Tauqeer, M. R. Akhtar, Z. A. Abbas and M. H. Khan, 'Performance Benchmark of Multi-Layer Neural Network Based Solar MPPT for PV Applications', International Conference on Emerging Power Technologies, 2021, pp. 1-6. doi: 10.1109/ICEPT51706.2021.9435583.

K.T. Maheswari;R. Bharanikumar;V. Arjun;R. Amrish;M. Bhuvanesh, 'A comprehensive review on cascaded H-bridge multilevel inverter for medium voltage high power applications', Materials Today: Proceedings, 2021. doi:10.1016/j.matpr.2020.11.519

Ali Q. Al-Shetwi, M.A. Hannan, Ker Pin Jern, M. Mansur, T.M.I. Mahlia, 'Grid-connected renewable energy sources: Review of the recent integration requirements and control methods', Journal of Cleaner Production, 2019.

K.N. Nwaigwe, P. Mutabilwa, E. Dintwa, 'An overview of Solar Power (PV Systems) Integration into Electricity Grids', Materials Science for Energy Technologies, 2019 .

Abdel-Salam, Mazen; El-Mohandes, Mohamed Th.; El-Ghazaly, Mahmoud, 'An Efficient Tracking of MPP in PV Systems Using a Newly-Formulated P&O-MPPT Method Under Varying Irradiation Levels', Journal of Electrical Engineering & Technology, 2019 .

Rajput, B. S. .; Gangele, A. .; Alaria, S. K. . Numerical Simulation and Assessment of Meta Heuristic Optimization Based Multi Objective Dynamic Job Shop Scheduling System. ijfrcsce 2022, 8, 92-98.

Rajput, B. S. .; Gangele, A. .; Alaria, S. K. .; Raj, A, Design Simulation and Analysis of Deep Convolutional Neural Network Based Complex Image Classification System. ijfrcsce 2022, 8, 86-91.

Pushpendra Kumar; Vikasdeep Yadav; Purvi J. Naik; A. K. Malik; S. K. A., Analysis of fuzzy inventory model with sustainable transportation, AIP Conference Proceedings 2782, 020127 (2023)https://doi.org/10.1063/5.0154300.

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Published

13.12.2023

How to Cite

Kumar, V. ., Roy, R. ., Varghese, A. J. ., & Bhattacharya, D. . (2023). Enhancing Power Quality in Solar-Fed Cascaded Multilevel Inverters: A Comparative Study of Fuzzy Logic and Neural Network Controllers for Output Voltage Regulation. International Journal of Intelligent Systems and Applications in Engineering, 12(8s), 395–403. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4130

Issue

Vol. 12 No. 8s (2024)

Section

Research Article

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