Abstract
This paper is relevant to the important issue of planning and management of a so-called smart microgrid, namely a group of interconnected loads and distributed energy resources (DER) with clearly defined electrical boundaries that acts as a single controllable entity with respect to the public grid. The Energy Management System (EMS) plays a crucial role in governing the power flows coming from the different generating sources inside such infrastructure and can resort to optimization procedure and algorithms in order to minimize the daily operating costs. The main features of the EMS platform suitably developed to control the University of Genoa test-bed facility called Smart Polygeneration Microgrid (SPM) are here illustrated and thoroughly discussed.
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References
Bracco, S., Delfino, F., Pampararo, F., Robba, M., Rossi, M.: The University of Genoa smart polygeneration microgrid test-bed facility: the overall system, the technologies and the research challenges. Renew. Sustain. Energy Rev. 18, 442–459 (2013)
Bracco, S., Delfino, F., Pampararo, F., Robba, M., Rossi, M.: A mathematical model for the optimal operation of the University of Genoa smart polygeneration microgrid: evaluation of technical, economic and environmental performance indicators. Energy 64, 912–922 (2014)
Chakraborty, S., Weiss, M.D., Simoes, M.G.: Distributed intelligent energy management system for a single-phase high-frequency AC microgrid. IEEE Trans. Ind. Electron. 54, 97–109 (2007)
Hajizadeh, A., Golkar, M.A.: Intelligent power management strategy of hybrid distributed generation system. Electr. Power Energy Syst. 29, 783–795 (2007)
Marnay, C., Venkataramanan, G., Stadler, M.: Optimal technology selection and operation of commercial-building microgrids. IEEE Trans. Power Syst. 23, 975–982 (2008)
Palma-Behnke, R., Benavides, C., Lanas, F., Severino, B., Reyes, L., Llanos, J., Sáez, D.A.: Microgrid energy management system based on the rolling horizon strategy. IEEE Trans. Smart Grid 4(2), 996–1006 (2013)
Teleke, S., Baran, M., Bhattacharya, S., Huang, A.: Rule-base control of battery energy storage for dispatching intermittent renewable sources. IEEE Trans. Sustain. Energy 1(3), 117–124 (2010)
Tsikalakis, A.G., Hazizargyriou, N.D.: Centralized control for optimizing microgrids operation. IEEE Trans. Energy Convers. 23, 241–248 (2008)
Westermann, D., John, A.: Demand matching wind power generation with wide-area measurement and demand-side management. IEEE Trans. Energy Convers. 22(1), 145–149 (2007)
List of Resources
Consortium for Electric Reliability Technology Solutions: Retrieved 13 Jan 2015, from http://certs.lbl.gov/certs-der-micro.html (n.d.)
Dufresne: Energy storage world forum. Retrieved 13 Jan 2015, from http://www.energystorageforum.com (n.d.)
Dufresne: Retrieved 13 Jan 2015, from http://www.dufresneresearch.com/ (n.d.)
Homer Energy: Retrieved 13 Jan 2015, from http://www.homerenergy.com/index.html (n.d.)
Siemens: Ten reasons for a smart grid with DEMS. Retrieved 13 Jan 2015, from https://www.swe.siemens.com/italy/web/IC/SG/EA/applicazioni/Gestione%20di%20Microgrid%20e%20Virtual%20Power%20Plant/Documents/DEMS_en.pdf (n.d.)
Smart Grid Observer: Microgrid world forum. Retrieved 13 Jan 2015, from http://www.microgridworldforum.com/ (n.d.)
University of Genoa, (Smart Energy Team): The Savona Campus test-bed facilities for the optimal planning and control of Smart grids. Retrieved 13 Jan 2015, from https://www.youtube.com/watch?v=RHzV7_YjZtM
U.S Department of Energy: Smart grid. Retrieved 13 Jan 2015, from https://www.smartgrid.gov/ (n.d.)
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Delfino, F., Rossi, M., Pampararo, F., Barillari, L. (2016). An Energy Management Platform for Smart Microgrids. In: Tsihrintzis, G., Virvou, M., Jain, L. (eds) Intelligent Computing Systems. Studies in Computational Intelligence, vol 627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49179-9_10
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DOI: https://doi.org/10.1007/978-3-662-49179-9_10
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