Enhancing Reliability and Efficiency in Power Systems: The Role of IoT in Optimizing Smart Grids

Authors

  • Alireza Zabihi Electrical engineering and intelligent systems at University of Coimbra in Portugal (Corresponding author) Author
  • Amirhossein Shafiei Alavijeh Master1_E3A (Electrique, Électronique, Automatique) at Université Paris-Saclay in France Author

DOI:

https://doi.org/10.5281/zenodo.15520008

Keywords:

Internet of things, smart grid, reliability, monitoring, maintenance, power system

Abstract

Power system management is changing as a result of IoT incorporation into smart grids, which is providing new levels of efficiency and dependability. The IoT facilitates smooth communication between platforms and components, enabling real-time grid maintenance tracking and management. Improved load distribution, faster problem detection, and improved energy management are all results of this increased connectedness. Predictive maintenance is further supported by IoT-driven analytics, which lowers the possibility of unplanned outages and raises stability of the grid overall. IoT is essential in helping SGs become more resilient and demand-adaptive by maximizing energy flow and minimizing losses. This study examines how the IoT is essential to improving the dependability and effectiveness of SGs, emphasizing significant advancements and useful uses.

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Author Biographies

  • Alireza Zabihi, Electrical engineering and intelligent systems at University of Coimbra in Portugal (Corresponding author)

     

     

  • Amirhossein Shafiei Alavijeh, Master1_E3A (Electrique, Électronique, Automatique) at Université Paris-Saclay in France

        

References

[1] Stergiou, C., Psannis, K. E., Kim, B.-G., Gupta, B. (2018). Secure integration of IoT and cloud computing. Future Generation Computer Systems, vol. 78, pp. 964-975.

[2] Li, Y., Cheng, X., Cao, Y., Wang, D., Yang, L. (2017). Smart choice for the smart grid: Narrowband Internet of Things (NB-IoT). IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1505-1515.

[3] Qays, M. O., Ahmad, I., Abu-Siada, A., Hossain, M. L., Yasmin, F. (2023) Key communication technologies, applications, protocols and future guides for IoT-assisted smart grid systems: A review. Energy Reports, vol. 9, pp. 2440-2452.

[4] Siozios, K., Anagnostos, D., Soudris, D., Kosmatopoulos, E. (2019). IoT for smart grids. Cham, Switzerland: Springer, p. 30.

[5] Lombardi, F., Aniello, L., De Angelis, S., Margheri, A., Sassone, V. (2018). A blockchain-based infrastructure for reliable and cost-effective IoT-aided smart grids. In: Living in the Internet of Things: Cybersecurity of the IoT, London.

[6] Lee, I., Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business horizons, vol. 58, no. 4, pp. 431-440.

[7] Yun, M., Yuxin, B. (2010). Research on the architecture and key technology of Internet of Things (IoT) applied on smart grid. In: 2010 international conference on advances in energy engineering, IEEE, pp. 69-72.

[8] Hidayatullah, N., Kurniawan, A., Kalam, A. (2018). Power transmission and distribution monitoring using Internet of Things (IoT) for smart grid. In: IOP Conference Series: Materials Science and Engineering, vol. 384, no. 1: IOP Publishing, p. 012039.

[9] Khajenasiri, I., Estebsari, A., Verhelst, M., Gielen, G. (2017). A review on Internet of Things solutions for intelligent energy control in buildings for smart city applications. Energy Procedia, vol. 111, pp. 770-779.

[10] Mohanta, B. K., Jena, D., Satapathy, U., Patnaik, S. (2020). Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology. Internet of Things, vol. 11, p. 100227.

[11] Hussain, F., Hassan, S. A., Hussain, R., Hossain, E. (2020). Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges. IEEE communications surveys & tutorials, vol. 22, no. 2, pp. 1251-1275.

[12] Ray, S., Bhadra, J. (2016). Security challenges in mobile and IoT systems. In: 2016 29th IEEE International System-on-Chip Conference (SOCC), IEEE, pp. 356-361.

[13] Zabihi, A., Sadeghkhani, I., Fani, B. (2021). A partial shading detection algorithm for photovoltaic generation systems. Journal of Solar Energy Research, vol. 6, no. 1, pp. 678-687.

[14] Zabihi, A., Parhamfar, M. (2024). Empowering the grid: toward the integration of electric vehicles and renewable energy in power systems. International Journal of Energy Security and Sustainable Energy, vol. 2, no. 1, pp. 1–14.

[15] Zabihi, A. (2024). Assessment of Faults in the Performance of Hydropower Plants within Power Systems. Energy, vol. 7, no. 2.

[16] Buccella, C., Cecati, C., Abu‐Rub, H. (2014). An overview on distributed generation and smart grid concepts and technologies. Power Electronics for Renewable Energy Systems, Transportation and Industrial Applications, pp. 50-68.

[17] Davoody-Beni, Z., Sheini-Shahvand, N., Shahinzadeh, H., Moazzami, M., Shaneh, M., Gharehpetian, G. B. (2019). Application of IoT in smart grid: Challenges and solutions. In: 2019 5th iranian conference on signal processing and intelligent systems (ICSPIS), IEEE, pp. 1-8.

[18] Goudos, S. K., Sarigiannidis, P., Dallas, P. I., Kyriazakos, S. (2019). Communication protocols for the IoT-based smart grid. IoT for Smart Grids: Design Challenges and Paradigms, pp. 55-83.

[19] Balaji, S., Nathani, K., Santhakumar, R. (2019). IoT technology, applications and challenges: a contemporary survey. Wireless personal communications, vol. 108, pp. 363-388.

[20] Soumyalatha, S. G. H. (2016). Study of IoT: understanding IoT architecture, applications, issues and challenges. In: 1st International Conference on Innovations in Computing & Net-working (ICICN16), CSE, RRCE. International Journal of Advanced Networking & Applications, vol. 478.

[21] Munir, T., et al. (2022). A systematic review of internet of things in clinical laboratories: Opportunities, advantages, and challenges. Sensors, vol. 22, no. 20, p. 8051.

[22] Aborujilah, A., et al. (2023). IoT Integration in Agriculture: Advantages, Challenges, and Future Perspectives: Short survey. In: 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM), IEEE, pp. 1-7.

[23] Panda, M. (2017). Intelligent data analysis for sustainable smart grids using hybrid classification by genetic algorithm-based discretization. Intelligent Decision Technologies, vol. 11, no. 2, pp. 137-151.

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Published

2024-10-22

How to Cite

Enhancing Reliability and Efficiency in Power Systems: The Role of IoT in Optimizing Smart Grids. (2024). Development Engineering Conferences Center Articles Database, 1(3). https://doi.org/10.5281/zenodo.15520008

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