Abstract
It is a key issue to efficiently manage resources in the smart grid (SG) network that is a dynamic distributed grid, in which the production, storage and users of electricity will work together under specific control. Therefore, in such network an important challenge is how to achieve unified control of distributed equipment on coordinating generators and users distributed in different geographical locations. This paper proposes an innovation model that is the edge computing nodes can be used to collect, compute, and store data while the edge computing nodes are being connected via peer-to-peer. By this way, the peered edge devices can communicate with each other after data processing. The experimental results of the proposed model show that there is a significant improvement to energy resources management due to the abilities of real time control. As results, the economic cost is decreased while the utilization of renewable energy is increased.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brown, R.E.: Impact of smart grid on distribution system design. In: IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, pp. 1–4 (2008)
Rahimi, F., Ipakchi, A.: Demand response as a market resource under the smart grid paradigm. IEEE Trans. Smart Grid 1(1), 82–88 (2010)
Okay, F.Y., Ozdemir, S.: A fog computing based smart grid model. In: 2016 International Symposium on Networks, Computers and Communications (ISNCC), Yasmine Hammamet, pp. 1–6 (2016)
Zahoor, S., Javaid, N., Khan, A., Ruqia, B., Muhammad, F.J., Zahid, M.: A cloud-fog-based smart grid model for efficient resource utilization. In: 14th International Wireless Communications & Mobile Computing Conference (IWCMC), Limassol, pp. 1154–1160 (2018)
Xie, Y.P., Wen, H., Wu, B., Jiang, Y.X., Meng, J.X.: A modified hierarchical attribute-based encryption access control method for mobile cloud computing. IEEE Trans. Cloud Comput. 7(2), 383–391 (2019)
Xie, Y.P., Jiang, Y.X., Wu, J.S., Wen, H., et al.: Three-layers secure access control for cloud-based smart grids. In: IEEE VTC 2015-Fall, September 2015
Xie, Y.P., Jiang, Y.X., Liao, R.F., Wen, H., et al.: A hierarchical key management system applied in cloud-based smart grid. In: IEEE ICCC 2015, November 2015
Xie, Y.P., Jiang, Y.X., Liao, R.F., Wen, H., et al.: User privacy protection for cloud computing based smart grid. In: IEEE ICCC 2015, November 2015
Han, Q.Y., Wen, H., Ma, T., Wu, B.: Self-nominating trust model based on hierarchical fuzzy systems for peer-to-peer networks. In: 2014 IEEE/CIC International Conference on Communications in China, Shanghai, pp. 199–204 (2014)
Han, Q.Y., Wen, H., Ren, M.Y., et al.: A topological potential weighted community-based recommendation trust model for P2P networks. Peer-to-Peer Netw. Appl. 8(6), 1048–1058 (2015)
Han, Q.Y., Wen, H., Wu, J.S., Ren, M.Y.: Rumor spreading and security monitoring in complex networks. In: The 4th International Conference on Computational Social Networks (CSoNet), pp. 48–59 (2015)
Han, Q.Y., Wen, H., Feng, G., et al.: Self-nominating trust model based on hierarchical fuzzy systems for peer-to-peer networks. Peer-to-Peer Netw. Appl. 4(7), 1020–1030 (2016)
Zhan, M., Wu, J., Zhang, Z.Z., Wen, H., Wu, J.J.: Low-complexity error correction for ISO/IEC/IEEE 21451-5 sensor and actuator networks. IEEE Sens. J. 15, 2622–2630 (2015)
Xiao, J., Wen, H., Wu, B., et al.: Joint design on DCN placement and survivable cloud service provision over all-optical mesh networks. IEEE Trans. Commun. 62(1), 235–245 (2014)
Fu, S., Wu, B., Wen, H., et al.: Transmission scheduling and game theoretical power allocation for interference coordination in CoMP. IEEE Trans. Wireless Commun. 13(1), 112–123 (2014)
Zhan, M., Wu, J., Wen, H.: Reduced memory decoding schemes for turbo decoding based on storing the index of the state metric. IET Commun. 8(12), 2095–2105 (2014)
Wen, H., Li, S., Zhu, X., Zhou, L.: A framework of the PHY-layer approach to defense against security threats in cognitive radio networks. IEEE Netw. 27(3), 34–39 (2013)
Hu, L., Wen, H., Wu, B., Pan, F., Liao, R.F., Song, H.H., Tang, J., Wang, X.: Cooperative jamming for physical layer security enhancement in internet of things. IEEE Internet Things J. 5(1), 219–228 (2018)
Xie, F.Y., Wen, H., Li, Y.S., et al.: Optimized coherent integration-based radio frequency fingerprinting in internet of things. IEEE Internet Things J. 5(5), 3967–3977 (2018)
Acknowledgments
This work was supported by National major R&D program (2018YFB0904900 and 2018YFB0904905).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Xu, A., Hou, W., Zhang, Y., Jiang, Y., Lei, W., Wen, H. (2020). A Novel Smart Grid Model for Efficient Resources. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2019. Advances in Intelligent Systems and Computing, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-34387-3_101
Download citation
DOI: https://doi.org/10.1007/978-3-030-34387-3_101
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34386-6
Online ISBN: 978-3-030-34387-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)