AI Algorithm Based Green Hydrogen Static Compensator for Harmonic Mitigation, Power Balancing, and Power Factor Correction in Nano-Grids
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Published:2023-12-30
Issue:1
Volume:13
Page:47-56
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ISSN:2278-3075
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Container-title:International Journal of Innovative Technology and Exploring Engineering
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language:
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Short-container-title:IJITEE
Author:
Prakash Dr. T. Ruban DevaORCID, , R M AchshahORCID,
Abstract
Nano-grids are emerging as a vital solution for sustainable energy distribution, particularly in integrating intermittent renewable energy sources. In this context, this research paper aims to address the challenges faced in Nano-grids through the innovative use of a Green Hydrogen Static Compensator (GHSC). The purpose of this study is to overcome issues related to harmonic pollution, power factor correction, and real power balancing within the Nano-grid system. The method employed involves a two-fold approach. Firstly, a modified instantaneous p-q algorithm is proposed to enhance the effectiveness of GHSC. Secondly, artificial intelligence (AI) algorithms, including deep neural networks, random forest, and XGBoost, are utilized to further refine the system's accuracy. These AI algorithms were trained using the modified p-q method, and the simulation of GHSC was performed using SimScape Toolbox in MATLAB-Simulink. The results of the study clearly demonstrate that the proposed GHSC approach, combined with the AI algorithms, outperforms traditional methods in terms of effectiveness in mitigating harmonic pollution and correcting power factors. However, it is noted that the current implementation lacks flexibility for real-time self-learning. In conclusion, the paper underscores the novelty and potential of the GHSC in conjunction with AI algorithms, while also pointing out areas for future research. Specifically, future efforts may focus on developing an automatic weight updating deep neural network that responds to real-time feedback of THD, power factor, and frequency, enhancing the system's adaptability and efficiency.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science
Reference18 articles.
1. Akpolat, A. N., Habibi, M. R., Baghaee, H. R., Dursun, E., Kuzucuoglu, A. E., Yang, Y., Dragicevic, T., & Blaabjerg, F., "Dynamic stabilization of DC microgrids using ANN-based model predictive control" in IEEE Transactions on Energy Conversion, vol. 37, no. 2, 2022, pp. 999-1010. https://doi.org/10.1109/TEC.2021.3118664 2. Benavides-Córdoba, S., Ortiz-Castrillón, J. R., Gutiérrez-Villa, Y. A., Muñoz-Galeano, N., Cano-Quintero, J. B., & López-Lezama, J. M., "Assessment of energy quality impacts for reactive power compensation with capacitor banks and D-STATCOM" in Links Magazine, vol. 18, no.1, 2021, pp. 232-241. https://doi.org/10.14483/2322939X.15752 3. Dana Ragab, & Jasim Ghaeb. "Implementation of reactive compensator for voltage balancing using AI based models and novel performance index" in International Journal of Power Electronics and Drive Systems (IJPEDS, vol. 1, no. 1,2022, pp. 594-605. https://doi.org/10.11591/ijpeds.v13.i1.pp594-605 4. De Oliveira, F. M., Mariano, A. C. S., Salvadori, F., & Ando Junior, O. H., "Power management and power quality system applied in a single-phase nanogrid" in Energies (19961073), vol. 15, no.19, 2022, pp. 7121. https://doi.org/10.3390/en15197121 5. Dovgun V. P., D. E. Egorov, V. V. Novikov, A. F. Sinjagovsky, "Shunt power factor correction devices for damping of harmonic resonance in industrial power systems" in Известия высших учебных заведений: Проблемы энергетики, vol. 24, no. 4, 2022, pp. 77-89. https://doi.org/10.30724/1998-9903-2022-24-4-77-89
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