Multi-Agent Design for the Micro-Grid Demonstration Project

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Abstract:

A Micro-Grid (MG) is an energy community having various Distributed Energy Resources (DERs) such as diesel engines, micro turbines, solar power, wind power, fuel cells and energy storage devices. The multi-agent architecture offers a hierarchical structure is very suitable for managing multi-individual and heterogeneous DERs in the MG environment. This paper proposes a Agent-based Demand and Supply Control Framework (AD-SCF) which merges with the existing MG Energy Management System (EMS). Moreover, the AD-SCF adopts the embedding of sensors that can provide environmental and DERs information to EMS. It enhances the exchanges information EMS with the other key elements to determine the best optimal controls on power flow, load dispatch and scheduling in MG.

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165-170

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Wang, Z. Wang, R. Yang, Intelligent Multi-agent Control System for Energy and Comfort Management in Smart and Sustainable Buildings, IEEE Trans. Smart Grid, (2012), pp.605-617.

DOI: 10.1109/tsg.2011.2178044

Google Scholar

[2] A.Q. Huang, M.L. Crow, G.T. Heydt, J.P. Zheng and S.J. Dale, The Future Renewable Electric Energy Delivery and Management (FREEDM) System, The Energy Internet, in Proc. of IEEE, Vol. 99, (2011), pp.33-148.

DOI: 10.1109/jproc.2010.2081330

Google Scholar

[3] M. Pipattanasomporn, H. Feroze, S. Rahman, Multi-Agent Systems in a Distributed Smart Grid: Design and Implementation, in Proc. IEEE PES 2009 Power Systems Conference and Exposition (PSCE'09) (2009).

DOI: 10.1109/psce.2009.4840087

Google Scholar

[4] J. Hunag, C. Jiang, and Xu R. Sneddon, A review on distributed energy resources and MicroGrid, Renewable and Sustainable Energy Reviews, Vol. 12, (2008), p.2472–2483.

DOI: 10.1016/j.rser.2007.06.004

Google Scholar

[5] N. R. Jennings, On agent-based software engineering, Artificial Intelligence, (2000), pp.277-296.

Google Scholar