Abstract
The nowadays power grid deployed and used in every Country worldwide has served relatively well in providing a seamless unidirectional power supply of electricity. Nevertheless, today a new set of challenges is arising, such as the depletion of primary energy resources, the diversification of energy generation and the climate change. This paper proposes recent advancements in this field by introducing SMART-NRG, a Marie Curie project which involves academic and industrial partners from three EU Countries. The project aims to propose new technologies to meet the specific requirements of smart grids applications. In particular, in this paper, a modular and flexible system architecture is presented to face with the challenges imposed by the different application scenarios.
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References
Gungor, V.C., et al.: Smart grid technologies: communication technologies and standards. IEEE TII 7(4), 529–539 (2011)
Kayastha, N.: Smart grid sensor data collection, communication, and networking: a tutorial. Wireless Comms. Mobile Comp. 14(11), 1055–1087 (2014)
Fang, X., et al.: Smart grid” the new and improved power grid: a survey. IEEE Comms. Surv. Tutorials 14(4), 944–980 (2012)
Communications, E. (ed.) M2M - Beyond Connectivity Special Report, vol. Q3. European Communications (2012)
SMART-NRG: an industry-academia partnerships and pathways for smart energy networks (2014). http://gain.di.uoa.gr/smart-nrg
Wenpeng, L.: Advanced metering infrastructure. South. Power Sys. Tech. 3(2), 6 (2009)
Palensky, P., et al.: Demand side management: demand response, intelligent energy systems, and smart loads. IEEE TII 7(3), 381–388 (2011)
Alagoz, B., et al.: A user-mode distributed energy management architecture for smart grid applications. Energy 44(1), 167–177 (2012)
Wissner, M.: The smart grid-a saucerful of secrets? Appl. Energy 88(7), 2509–2518 (2011)
Dong, Q., et al.: Distributed demand and response algorithm for optimizing social-welfare in smart grid. In: IEEE IPDPS, pp. 1228–1239 (2012)
Xenakis, D., et al.: Mobility management for femtocells in lte-advanced: key aspects and survey of handover decision algorithms. IEEE Comms. Surv. Tutorials 16(1), 64–91 (2014)
Gungor, V.C., et al.: Opportunities and challenges of wireless sensor networks in smart grid. IEEE TII 57(10), 3557–3564 (2010)
Kolias, C., Kambourakis, G., Stavrou, A., Gritzalis, S.: Intrusion detection in 802.11 networks: empirical evaluation of threats and a public dataset. IEEE Comms. Surv. Tutorials PP, 1 (2015). doi:10.1109/COMST.2015.2402161
Gharavi, H., Hu, B.: Multigate communication network for smart grid. Proc. of the IEEE 99(6), 1028–1045 (2011)
Ahlswede, R., et al.: Network information flow. IEEE Trans. Inf. Theor. 46(4), 1204–1216 (2000)
Elias, P., et al.: A note on the maximum flow through a network. IRE Trans. Inf. Theor. 2(4), 117–119 (1956)
Omnet++ 4.x discrete event simulator (2015). www.omnetpp.org
Acknowledgement
This research has been funded by the European Commission as part of the SMART-NRG project (FP7-PEOPLE-2013-IAPP Grant number 612294).
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Tennina, S., Xenakis, D., Boschi, M., Di Renzo, M., Graziosi, F., Verikoukis, C. (2015). A Modular and Flexible Network Architecture for Smart Grids. In: Papavassiliou, S., Ruehrup, S. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2015. Lecture Notes in Computer Science(), vol 9143. Springer, Cham. https://doi.org/10.1007/978-3-319-19662-6_19
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DOI: https://doi.org/10.1007/978-3-319-19662-6_19
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