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

Paolo Giammatteo; Concettina Buccella; Carlo Cecati

Research Article

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

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@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.