Published December 30, 2023 | Version CC BY-NC-ND 4.0
Journal article Open

AI Algorithm Based Green Hydrogen Static Compensator for Harmonic Mitigation, Power Balancing, and Power Factor Correction in Nano-Grids

Creators

  • 1. Post Doctoral Researcher, International Innovation Program, Eudoxia Research University, USA. (Principal, JKKN College of Engineering and Technology, Komarapalayam, Namakkal, India.

Contributors

Researcher:

  • 1. Post Doctoral Researcher, International Innovation Program, Eudoxia Research University, USA. (Principal, JKKN College of Engineering and Technology, Komarapalayam, Namakkal, India.
  • 2. CEO, Effigies Smart Technologies LLP, Kanyakumari, India.

Description

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.

Files

A97701213123.pdf

Files (1.1 MB)

Name Size Download all
md5:dbdb190ffd88f0eb553c30ea0b94a3c8
1.1 MB Preview Download

Additional details

Identifiers

DOI
10.35940/ijitee.A9770.1213123
ISSN
2278-3075

Dates

Accepted
2023-12-15
Manuscript received on 23 November 2023 | Revised Manuscript received on 29 November 2023 | Manuscript Accepted on 15 December 2023 | Manuscript published on 30 December 2023

References

  • 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
  • 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
  • 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
  • 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
  • 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
  • Eko Adhi Setiawan, & Novagia Adita. "Hybrid nanogrids development to improve residential reliability and resiliency supply: Testing and implementation" in Energy Reports, vol. 8, 2022, pp. 284–290. https://doi.org/10.1016/j.egyr.2022.01.060
  • Frifita, K., Boussak, M. , "A novel strategy for high performance fault tolerant control of shunt active power filter" in Electrical Engineering, vol.104, 2022, pp. 2531–2541. https://doi.org/10.1007/s00202-022-01504-9
  • Giuseppe Barone, Giovanni Brusco, Daniele Menniti, Anna Pinnarelli, Nicola Sorrentino, Pasquale Vizza, Alessandro Burgio, Ángel A., Bayod-Rújula. "A renewable energy community of DC nanogrids for providing balancing services" in Energies, vol. 14, 2021, pp. 7261. https://doi.org/10.3390/en14217261
  • Meliani, M., Barkany, A. E., Abbassi, I. E., Darcherif, A. M., Mahmoudi, M.. "Energy management in the smart grid: State-of-the-art and future trends" in International Journal of Engineering Business Management, vol. 3, 2021, pp. 1–26. https://doi.org/10.1177/18479790211032920
  • Naaz, N., Channegowda, J. "XGBoost Based Synthetic Battery Parameter Generation to Overcome Limited Battery Dataset Challenges" in IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy-2022 (PESGRE), 2022, pp. 1–4. https://doi.org/10.1109/PESGRE52268.2022.9715814
  • Prakash, T., Senthil Kumar, V., "Improvement of oscillatory stability in wide area controlled systems using power injection" in Wireless Personal Communications, vol. 117, no. 4, 2021, pp. 3193–3207 https://doi.org/10.1007/s11277-020-07800-6
  • Rohani, A., Joorabian, M., Abasi, M., Zand, M.. "Three-phase amplitude adaptive notch filter control design of DSTATCOM under unbalanced/distorted utility voltage conditions" in Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, 2019, pp. 847–865. https://doi.org/10.3233/JIFS-181521
  • Sunil Kumar, C., Puttamadappa, C., & Chandrashekar, Y. L.. "Power quality improvement in grid integrated PV systems with SOA optimized active and reactive power control" in Journal of Electrical Engineering & Technology, vol.5, 2022, pp. 1–16.
  • Irfan, M. M., Chandrashekhar, Dr. P., & Sushama, Dr. M. (2019). Power Management Policies in Distributed Generation and Potential Opportunities for Future Research. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 2, pp. 143–148). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijitee.a5260.129219
  • Dash, S., & Santra, R. (2020). Internet of Things Enabled Smart Microgrid. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 6, pp. 73–76). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijeat.f2186.089620
  • Smart Assimilation of Renewable Based Microgrids. (2019). In International Journal of Recent Technology and Engineering (Vol. 8, Issue 2S8, pp. 1617–1622). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijrte.b1116.0882s819
  • Rajasekaran, G., & Ram, Dr. C. S. (2023). Breast Cancer Prediction Based on Feature Extraction using Hybrid Methodologies. In International Journal of Soft Computing and Engineering (Vol. 13, Issue 2, pp. 20–28). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijsce.b3612.0513223
  • Gupta, S. K. (2022). Smart Grid System in India. In Indian Journal of Energy and Energy Resources (Vol. 1, Issue 4, pp. 5–6). Lattice Science Publication (LSP). https://doi.org/10.54105/ijeer.c1018.081422