Smart Grid based Wireless Communication in 5G Network for Monitoring and Control Systems in Renewable Energy Management

Main Article Content

Nadica Stojanovic

Abstract

Wireless networks are becoming ubiquitous and as the cost of equipment decreases and performance increases, it becomes both economically and technologically feasible to deploy wireless networks in power systems and industrial environments for a wide range of applications. They have advantage of providing diverse controlling features through a unified communication platform. Application of such networks in the smart grid/industrial environments is under active research and expected to become an integral part of the power system. This research propose novel technique smart grid communication in wireless 5G networks for monitoring and controlling management. Here the smart grid designing has been done based on wireless communication networks. The smart grid network for renewable energy has been controlled using Stackelberg equilibrium based SCADA (supervisory control and data acquisition) method. The control method based collected data has been monitored for detection of malicious activities in the network using supervised radial basis fuzzy systems. The experimental analysis has been carried out based on control system and network malicious activities. Here the control system based parameters analysed are Scalability of 65%, QoS of 71%, Power consumption of 41%, Network Efficiency of 92%. Then machine learning based malicious activities detection in terms of accuarcy of 96%, network security of 88%, throughput of 94%, Network delay of 41%. Proposed method supports interoperability of multiple types of inverters, is scalable and flexible, and transmits data over a secure communication channel.

Article Details

How to Cite
Stojanovic, N. . (2022). Smart Grid based Wireless Communication in 5G Network for Monitoring and Control Systems in Renewable Energy Management. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(3), 23–32. Retrieved from http://ijfrcsce.org/index.php/ijfrcsce/article/view/2095
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References

Alshehri, K., Liu, J., Chen, X., & Başar, T. (2015, December). A Stackelberg game for multi-period demand response management in the smart grid. In 2015 54th IEEE Conference on Decision and Control (CDC) (pp. 5889-5894). IEEE.

Huang, L., Xu, S., Liu, K., Yang, R., & Wu, L. (2021). A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification. Computational Intelligence and Neuroscience, 2021.

Abdrabou, A. (2014). A wireless communication architecture for smart grid distribution networks. IEEE Systems journal, 10(1), 251-261.

Almasarani, A., & Majid, M. A. (2021). 5G-Wireless sensor networks for smart grid-accelerating technology’s progress and innovation in the kingdom of Saudi arabia. Procedia Computer Science, 182, 46-55.

Borgaonkar, R., Anne Tøndel, I., Zenebe Degefa, M., & Gilje Jaatun, M. (2021). Improving smart grid security through 5G enabled IoT and edge computing. Concurrency and Computation: Practice and Experience, 33(18), e6466.

Wang, D., Wang, H., & Fu, Y. (2021). Blockchain-based IoT device identification and management in 5G smart grid. EURASIP Journal on Wireless Communications and Networking, 2021(1), 1-19.

Taik, A., Nour, B., & Cherkaoui, S. (2021). Empowering prosumer communities in smart grid with wireless communications and federated edge learning. IEEE Wireless Communications, 28(6), 26-33.

Chafi, S. E., Balboul, Y., Mazer, S., Fattah, M., & El Bekkali, M. (2022). Resource placement strategy optimization for smart grid application using 5G wireless networks. International Journal of Electrical & Computer Engineering (2088-8708), 12(4).

Ahmadzadeh, S., Parr, G., & Zhao, W. (2021). A review on communication aspects of demand response management for future 5G IoT-based smart grids. IEEE Access, 9, 77555-77571.

Borenius, S., Hämmäinen, H., Lehtonen, M., & Ahokangas, P. (2021). Smart grid evolution and mobile communications—Scenarios on the Finnish power grid. Electric Power Systems Research, 199, 107367.

Lu, G., Tian, L., Liu, H., Zhu, H., Wang, L., & Zeng, J. (2021, November). Research on the Application of Uninterrupted 5G Private Network in Smart Grid. In Journal of Physics: Conference Series (Vol. 2078, No. 1, p. 012062). IOP Publishing.

Liu, Y., Yang, X., Wen, W., & Xia, M. (2021). Smarter Grid in the 5G Era: A Framework Integrating Power Internet of Things with a Cyber Physical System. Frontiers in Communications and Networks, 23.

Abrahamsen, F. E., Ai, Y., & Cheffena, M. (2021). Communication technologies for smart grid: A comprehensive survey. Sensors, 21(23), 8087.

Yuqing, Z. (2022). A Hybrid Convolutional Neural Network and Relief-F Algorithm for Fault Power Line Recognition in Internet of Things-Based Smart Grids. Wireless Communications and Mobile Computing, 2022.

Lopez, J., Rubio, J. E., & Alcaraz, C. (2021). Digital twins for intelligent authorization in the B5G-enabled smart grid. IEEE Wireless Communications, 28(2), 48-55.

Biswas, S. (2021). Development of Microcontroller Based Smart Grid Framework. arXiv preprint arXiv:2111.10835.

Sathya, M., Gunalan, K., Anil Kumar, T. C., Shafi, S., & Johncy, G. (2021). An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning. International Journal of Nonlinear Analysis and Applications, 12(2), 1567-1576.

Li, Q., Tang, H., Liu, Z., Li, J., Xu, X., & Sun, W. (2021). Optimal resource allocation of 5G machine-type communications for situation awareness in active distribution networks. IEEE Systems Journal.

Muhammad, G., & Hossain, M. S. (2021). Deep-Reinforcement-Learning-Based Sustainable Energy Distribution for Wireless Communication. IEEE Wireless Communications, 28(6), 42-48.

Sun, H., Li, G., Zhai, M., & Lu, W. (2022, April). Research on Smart Grid Heterogeneous Communication System Integrating Power Line Communication and 5G Communication. In 2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) (pp. 965-969). IEEE.