Abstract
Nowadays, utility grids bear certain losses and inefficiencies. For example joule losses in transport lines, control effort when matching supply and demand, and difficulties in admitting intermittent power sources. This work presents a new scheme that palliates all of them, improving the efficiency of the grid. The scheme is focused on matching supply and demand in an end-to-end approach, turning the grid in an Internet of Energy where each user (producer or consumer) can buy or sell their energy without intermediaries at any time. The scheme establishes a decentralized control of the grid which means lower balance error and control effort. The access for intermittent power sources is opened up which foster distributed generation, therefore joule losses decrease. The requirements are a storage device for each user and the availability of ICT technologies. This contribution explains the scheme and analyzes its implementation.
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Ai, Q., Wang, X., He, X.: The impact of large-scale distributed generation on power grid and microgrids. Renew. Energy 62, 417–423 (2014)
Mehigan, L., Deane, J.P., Gallachóir, B.P.Ó., Bertsch, V.: A review of the role of distributed generation (DG) in future electricity systems. Energy 163, 822–836 (2018)
Sajadi, A., Strezoski, L., Strezoski, V., Prica, M., Loparo, K.A.: Integration of renewable energy systems and challenges for dynamics, control, and automation of electrical power systems. Wiley Interdiscip. Rev. Energy Environ. 8(1), e321 (2019)
Wang, P., Liang, D.H., Yi, J., Lyons, P.F., Davison, P.J., Taylor, P.C.: Integrating electrical energy storage into coordinated voltage control schemes for distribution networks. IEEE Trans. Smart Grid 5(2), 1018–1032 (2014)
Guo, H., Wang, F., James, G., Zhang, L., Luo, J.: Graph theory based topology design and energy routing control of the energy internet. IET Gener. Transm. Distrib. 12(20), 4507–4514 (2018)
Strasser, T., et al.: A review of architectures and concepts for intelligence in future electric energy systems. IEEE Trans. Ind. Electron. 62(4), 1 (2014)
Amini, M.H., Nabi, B., Haghifam, M.: Load management using multi-agent systems in smart distribution network. IEEE Power & Energy Society General Meeting, pp. 1–5 (2013)
Wang, Q., Zhang, C., Ding, Y., Xydis, G., Wang, J., Østergaard, J.: Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response. Appl. Energy 138, 695–706 (2015)
Deng, R., Yang, Z., Chow, M., Chen, J.: A survey on demand response in smart grids: mathematical models and approaches. IEEE Trans. Ind. Inform. 11(3), 570–582 (2015)
Maharjan, S., Zhang, Y., Gjessing, S., Tsang, D.H.K.: User-centric demand response management in the smart grid with multiple providers. IEEE Trans. Emerg. Top. Comput. 5(4), 494–505 (2017)
Nasirian, V., Shafiee, Q., Guerrero, J.M., Lewis, F.L., Davoudi, A.: Droop-free distributed control for AC microgrids. IEEE Trans. Power Electron. 31(2), 1600–1617 (2016)
Hu, J., Cao, J., Guerrero, J.M., Yong, T., Yu, J.: Improving frequency stability based on distributed control of multiple load aggregators. IEEE Trans. Smart Grid 8(4), 1553–1567 (2017)
Kim, B.G., Zhang, Y., Van Der Schaar, M., Lee, J.W.: Dynamic pricing and energy consumption scheduling with reinforcement learning. IEEE Trans. Smart Grid 7(5), 2187–2198 (2016)
Prokopenko, M., Zeman, A., Li, R.: Homeotaxis: coordination with persistent time-loops. In: Asada, M., Hallam, J.C.T., Meyer, J.A., Tani, J. (eds.) From Animals to Animats 10. SAB 2008. LNCS, vol 5040, pp. 403–414. Springer, Heidelberg (2008)
Reddy, S.S., Bijwe, P.R.: An efficient optimal power flow using bisection method. Electr. Eng. 100(4), 1–13 (2018)
Huang, A.Q., Crow, M.L., Heydt, G.T., Zheng, J.P., Dale, S.J.: The future renewable electric energy delivery and management (FREEDM) system: the energy internet. Proc. IEEE 99(1), 133–148 (2011)
Bedi, G., Venayagamoorthy, G.K., Singh, R., Brooks, R.R., Wang, K.C.: Review of Internet of Things (IoT) in electric power and energy systems. IEEE Internet Things J. 5(2), 847–870 (2018)
Olivares, D.E., et al.: Trends in microgrid control. IEEE Trans. Smart Grid 5(4), 1905–1919 (2014)
Park, C., Yong, T.: Comparative review and discussion on P2P electricity trading. Energy Procedia 128, 3–9 (2017)
Open Utility: A glimpse into the future of Britain’s energy economy. White Pap., no. Copyright Open Utility Ltd 2016, pp. 1–25 (2016)
Vardakas, J.S., Zorba, N., Verikoukis, C.V.: A survey on demand response programs in smart grids: pricing methods and optimization algorithms. IEEE Commun. Surv. Tutorials 17(1), 152–178 (2015)
Han, H., Hou, X., Yang, J., Wu, J., Su, M., Guerrero, J.M.: Review of power sharing control strategies for islanding operation of AC microgrids. IEEE Trans. Smart Grid 7(1), 200–215 (2016)
Douglas, R., Charbonneau, A., Gertsvolf, M.: Remote calibration of time from NTP servers. Metrologia 55(6), 855 (2018)
Ayaz, M.S., Azizipanah-Abarghooee, R., Terzija, V.: European LV microgrid benchmark network: Development and frequency response analysis. In: IEEE International Energy Conference (ENERGYCON), pp. 1–6 (2018)
Kundur, P.: Power System Stability and Control [pt. I]. McGraw-Hill Education, New York (1994)
Richardson, I., Thomson, M.: Domestic electricity demand model - simulation example. https://dspace.lboro.ac.uk/2134/5786. Accessed 01 Feb 2019
Chatterjee, A., Mohanty, K.B.: Current control strategies for single phase grid integrated inverters for photovoltaic applications-a review. Renew. Sustain. Energy Rev. 92(May), 554–569 (2018)
Zhang, S., Pan, N.: Supercapacitors performance evaluation. Adv. Energy Materials 5(6), 1401401 (2015)
Datasheet of a supercapacitor of 24V, 9F, 0,139Ω. https://www.maxwell.com/images/documents/24V_9F_ds_3001967_datasheet.pdf. Accessed 21 June 2019
Datasheet of a AC/DC converter with an efficiency of 93%. https://autosolar.es/pdf/FICHA-INVERSOR-MUST-3000W-24V-MPPT50.pdf. Accessed 21 June 2019
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López-García, D.A., Torreglosa, J.P., Vera, D. (2020). Improving Efficiency in the Electricity Grid by a New Decentralized Control Scheme. In: Monteiro, J., et al. INCREaSE 2019. INCREaSE 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-30938-1_31
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DOI: https://doi.org/10.1007/978-3-030-30938-1_31
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