About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
inis 16(7): e5

Research Article

A Proposal for a Multi-Agent based Synchronization Method for Distributed Generators in Micro-Grid Systems

Download1240 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eai.21-4-2016.151160,
        author={Paolo Giammatteo and Concettina Buccella and Carlo Cecati},
        title={A Proposal for a Multi-Agent based Synchronization Method for Distributed Generators in Micro-Grid Systems},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={3},
        number={7},
        publisher={EAI},
        journal_a={INIS},
        year={2016},
        month={4},
        keywords={Consensus Algorithm, Distributed Power Generation, Electric Grid, Multi-Agent System, Power},
        doi={10.4108/eai.21-4-2016.151160}
    }
    
  • Paolo Giammatteo
    Concettina Buccella
    Carlo Cecati
    Year: 2016
    A Proposal for a Multi-Agent based Synchronization Method for Distributed Generators in Micro-Grid Systems
    INIS
    EAI
    DOI: 10.4108/eai.21-4-2016.151160
Paolo Giammatteo1,*, Concettina Buccella1, Carlo Cecati1
  • 1: Department of Information Engineering, Computer Science and Mathematics, University of L’Aquila, Via Vetoio, 67100, L’Aquila, Italy
*Contact email: paolo.giammatteo@graduate.univaq.it

Abstract

A synchronization technique based on the Multi-Agent Systems approach, is proposed for a group of Distributed Generators belonging to a Micro-Grid. The Average Time Synchronization consensus algorithm is used. A detailed description of system’s hardware architecture is given and several simulations of the dynamic are performed. Since the synchronization take place on a dedicated layer, different from the power grid one, the proposed technique does not require voltage and current measurements. This gives scalable, flexible and resilient characteristics to the system by construction.

Keywords
Consensus Algorithm, Distributed Power Generation, Electric Grid, Multi-Agent System, Power
Received
2015-12-06
Accepted
2015-12-30
Published
2016-04-21
Publisher
EAI
http://dx.doi.org/10.4108/eai.21-4-2016.151160

Copyright © 2016 Paolo Giammatteo et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL