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Energies 2013, 6(11), 6045-6059; doi:10.3390/en6116045

Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids

1,*  and 2
1 Department of Electrical Engineering, National Taiwan University of Science and Technology, No.43, Section 4, Keelung Road, Da'an District, Taipei 106, Taiwan 2 Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310, Taiwan
* Author to whom correspondence should be addressed.
Received: 16 September 2013 / Revised: 1 November 2013 / Accepted: 11 November 2013 / Published: 19 November 2013
(This article belongs to the Special Issue Smart Grids: The Electrical Power Network and Communication System)
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By consulting various worldwide definitions of microgrids and distributed energy, this study presents a microgrid-structured multi-agent system and uses Matlab/Simulink to construct a circuit with microgrid features, which enables the changes in each electrical source and load in the microgrid to be monitored and controlled. This multi-agent system adheres to the Java Agent Development Framework (JADE) platform specifications of the Foundation for Intelligent Physical Agents (FIPA), facilitating communication, information transfers, and the receipt of real-time information regarding the microgrid and each component in the microgrid. Furthermore, the real-time state in the microgrid can be correspondingly controlled, achieving the most efficient real-time monitoring and control for electrical sources and load management in the microgrid.
Keywords: microgrids; multi-agent system; distributed energy resource microgrids; multi-agent system; distributed energy resource
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Kuo, M.-T.; Lu, S.-D. Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids. Energies 2013, 6, 6045-6059.

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