Abstract
The transition to an intelligent electrical network that is more respectful to the environment and consumers’ needs requires the adoption of renewable energies. However, and despite the progress made in this area, renewable energies present significant constraints, such as their intermittency. Therefore, the convergence between the worlds of energy and 5G/6G network techniques offers relevant solutions, including the use of Virtual Power Plants, SDN technology coupled with network slicing. As a way to achieve power balancing between power generation and demands, this study offers a unique architecture for a smart grid that makes full use of optimization techniques to rationalize the distribution of energy resources. Performance evaluation shows the optimization of resource consumption.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
International Energy Agency IEA. World Energy Outlook, 2021. www.iea.org/weo
Patil, S., Deshmukh, S.R.: Development of control strategy to demonstrate load priority system for demand response program. In: 2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), pp. 1–6 (2019). https://doi.org/10.1109/WIECON-ECE48653.2019.9019950
Zhao, J., Hammad, E., Farraj, A., Kundur, D.: Network-aware QoS routing for smart grids using software defined networks. In: Leon-Garcia, A., et al. (eds.) Smart City \(360^\circ\). SmartCity 360 SmartCity 360 2016 2015. LNICS, Social Informatics and Telecommunications Engineering, vol. 166, pp. 384–394. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33681-7_32
Dorsch, N., Kurtz, F., Girke, F., Wietfeld, C.: Enhanced fast failover for software-defined smart grid communication networks. In: IEEE Global Communications Conference (GLOBECOM), pp. 1–6, December 2016
Ghosh, U., Chatterjee, P., Shetty, S.: A security framework for SDNEnabled smart power grids. In: IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 113–118, June 2017
Lin, H., et al.: Self-healing attack-resilient PMU network for power system operation. IEEE Trans. Smart Grid 9(3), 1551–1565 (2018)
Mouawad, N., Naja, R., Tohmé, S.: Inter-slice handover management in a V2X slicing environment using bargaining games. Wirel. Netw. 26(5), 3883–3903 (2020)
Bessem, S., Marco, G., Vasilis, F., Dirk von, H., Paul, A.: SDN for 5G mobile networks: norma perspective. In: Proceedings of the 11th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM, Grenoble, France (2016)
Ersue, M.: ETSI NFV management and orchestration-an overview. In: Proceedings of 88th IETF Meeting (2013)
Elayoubi, S., Maternia, M.: 5G-PPP use cases and performance evaluation modeling. 5G PPP white paper (2016)
Campolo, C., Molinaro, A., Iera, A., Menichella, F.: 5G network slicing for vehicle-to-everything services. IEEE Wirel. Commun. 24(6), 38–45 (2017)
Campolo, C., Molinaro, A., Iera, A., Fontes, R.R., Rothenberg, C.E.: Towards 5G network slicing for the v2x ecosystem. In: Proceedings of the 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), pp. 400–405 (2018)
Seremet, I., Causevic, S.: Benefits of using 5G network slicing to implement vehicle-to-everything (V2X) technology. In: Proceedings of the 18th International Symposium INFOTEHJAHORINA (INFOTEH), pp. 1–6 (2019)
Khan, H., Luoto, P., Bennis, M., Latva-aho, M.: On the application of network slicing for 5G-V2X. In: European Wireless 2018; 24th European Wireless Conference, VDE, pp. 1–6 (2018)
ADEME. Rapport sur L’effacement de consommation électrique en France. Evaluation du potentiel d’effacement par modulation de process dans l’industrie et le tertiaire en France métropolitaine, 2017
Strielkowski, W., Dvořák, M., Rovný, P., Tarkhanova, E.: 5G wireless networks in the future renewable energy systems. Front. Energy Res. 9 (2021). https://doi.org/10.3389/fenrg.2021.714803
Chekired, D.A., Khoukhi, L., Mouftah, H.T.: Decentralized cloud-SDN architecture in smart grid: a dynamic pricing model. IEEE Trans. Ind. Inf. 14(3), 1220–1231 (2018)
Nafi, N.S., Ahmed, K., Datta, M., Gregory, M.A.: A novel software defined wireless sensor network based grid to vehicle load management system. In: 10th International Conference on Signal Processing and Communication Systems (ICSPCS), pp. 1–6, December 2016
Olatomiwa, L., Blanchard, R., Mekhilef, S., Akinyele, D.: Hybrid Renewable Energy Supply for Rural Healthcare Facilities: An Approach to Quality Healthcare Delivery, Loughborough University. Journal contribution (2018). https://hdl.handle.net/2134/35194
Melhem, F.: Optimization methods and energy management in smart grids, Thesis, Université Bourgogne Franche-Comté, 2018
Arango, J., Rajan Velayutha, H., Rohde, A., Denhof, D., Freitag, M.: Design and simulation of a control algorithm for peakload shaving using vehicle to grid technology, Controller design for vehicle to grid technology (2019). https://doi.org/10.1007/s424520190999x
Ullah, K., Hafeez, G., Khan, I., Jan, S., Javaid, N.: A multi-objective energy optimization in smart grid with high penetration of renewable energy sources
Wind turbine parameters. https://www.windpowercn.com/new-15kw-wind-turbine.asp
Solar systems parameters. https://kenbrooksolar.com/system/25kw-solar-system-price#:~:text=About%2020kW%20Solar%20System,on%20average%20throughout%20the%20year
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Statements and Declarations
Statements and Declarations
Ethical Approval
No ethical approval is needed.
Competing Interests
The authors have no relevant financial or non-financial interests to disclose.
Authors’ Contributions
All authors contributed to the study conception and design. Material preparation was performed by Asma Tannous. The manuscript was written by Rola Naja and all authors read and approved the final paper version.
Funding
The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.
Availability of Data and Materials
The datasets generated during and/or analysed during the current study are not publicly available due to confidential reasons but are available from the corresponding author on reasonable request.
Rights and permissions
Copyright information
© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Naja, R., Tannous, A., Mouawad, N., Moubayed, N. (2024). Optimization of Energy Distribution with Demand Response Control in 6G Next Generation Smart Grids. In: Maglaras, L.A., Douligeris, C. (eds) Wireless Internet. WiCON 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-58053-6_10
Download citation
DOI: https://doi.org/10.1007/978-3-031-58053-6_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-58052-9
Online ISBN: 978-3-031-58053-6
eBook Packages: Computer ScienceComputer Science (R0)