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

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

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...

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Main Authors: Ming-Tse Kuo, Shiue-Der Lu
Format: Article
Language:English
Published: MDPI AG 2013-11-01
Series:Energies
Subjects:
microgrids
multi-agent system
distributed energy resource
Online Access:http://www.mdpi.com/1996-1073/6/11/6045
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spelling doaj-fbf3fbcffef34a27b3d1f07229ad71ee2020-11-25T01:45:10ZengMDPI AGEnergies1996-10732013-11-016116045605910.3390/en6116045en6116045Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in MicrogridsMing-Tse Kuo0Shiue-Der Lu1Department of Electrical Engineering, National Taiwan University of Science and Technology, No.43, Section 4, Keelung Road, Da'an District, Taipei 106, TaiwanGreen Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310, TaiwanBy 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.http://www.mdpi.com/1996-1073/6/11/6045microgridsmulti-agent systemdistributed energy resource
collection DOAJ
language English
format Article
sources DOAJ
author Ming-Tse Kuo
Shiue-Der Lu
spellingShingle Ming-Tse Kuo
Shiue-Der Lu
Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids
Energies
microgrids
multi-agent system
distributed energy resource
author_facet Ming-Tse Kuo
Shiue-Der Lu
author_sort Ming-Tse Kuo
title Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids
title_short Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids
title_full Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids
title_fullStr Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids
title_full_unstemmed Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids
title_sort design and implementation of real-time intelligent control and structure based on multi-agent systems in microgrids
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2013-11-01
description 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.
topic microgrids
multi-agent system
distributed energy resource
url http://www.mdpi.com/1996-1073/6/11/6045
work_keys_str_mv AT mingtsekuo designandimplementationofrealtimeintelligentcontrolandstructurebasedonmultiagentsystemsinmicrogrids
AT shiuederlu designandimplementationofrealtimeintelligentcontrolandstructurebasedonmultiagentsystemsinmicrogrids
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