Next Article in Journal
Cellular Cycling, Carbon Utilization, and Photosynthetic Oxygen Production during Bicarbonate-Induced Triacylglycerol Accumulation in a Scenedesmus sp.
Next Article in Special Issue
AC Power Local Network with Multiple Power Routers
Previous Article in Journal
Recent Research Progress on Non-aqueous Lithium-Air Batteries from Argonne National Laboratory
Previous Article in Special Issue
Price Forecasting in the Day-Ahead Energy Market by an Iterative Method with Separate Normal Price and Price Spike Frameworks
Energies 2013, 6(11), 6045-6059; doi:10.3390/en6116045
Article

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)
View Full-Text   |   Download PDF [6159 KB, uploaded 17 March 2015]   |  

Abstract

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 3.0).
SciFeed

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
RIS
MDPI and ACS Style

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.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert