Multi-agent Systems Applied for Restoration of Power Networks Supported
by Micro Grids
F. Marcal, R. Leao, J. Almada, R. Sampaio, F. Antunes, J. Rocha, and G. Barroso. 2016 12TH IEEE/IAS INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS
(INDUSCON), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE; IEEE S Brazil Sect; IEEE Ind Applicat Soc; Univ Tecnologica Fed
Parana; VECTOR; LORENZO Brazil, IEEE, (2016)12th IEEE/IAS International Conference on Industry Applications
(INDUSCON), Curitiba, BRAZIL, NOV 20-23, 2016.
Abstract
This paper presents a multi-agent-based system for the automatic
restoration of power distribution networks supported by micro grids. The
multi-agent automatic restoration system (MARS) is composed of eight
types of agents: switch agents (AC), feeder agents (AL), tie switch
agents (AE), connection point agent (APC), generation agent (AG), demand
agent (AD), storage agent (AA), and dispatch generation agent (AGC). The
agents work together in order to restore costumers load after a fault
occurs in the utility power grid. The MARS was developed in JADE (Java
Agent Development Framework), which is written in Java. Case studies are
supposed to demonstrate the performance of the proposed MARS when
applied to a medium-voltage power distribution network and a microgrid.
The distribution network and the micro grid are modeled in
Matlab-Simulink environment, while the communication tools between JADE
and Simulink are also developed. Simulation results demonstrate that
MARS presents a suitable performance, providing fast and reliable
recovery of the power distribution network. It also evidences the
capability of multi-agent system techniques in the automation and
decision support of smart grids.
%0 Conference Paper
%1 WOS:000408912200125
%A Marcal, Fernando Americo A R
%A Leao, Ruth Pastora S
%A Almada, Janaina B
%A Sampaio, Raimundo F
%A Antunes, Fernando L M
%A Rocha, Janaina E
%A Barroso, Giovanni C
%B 2016 12TH IEEE/IAS INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS
(INDUSCON)
%C 345 E 47TH ST, NEW YORK, NY 10017 USA
%D 2016
%I IEEE
%K Micro Multiagent grids; restoration; system} {Automatic
%T Multi-agent Systems Applied for Restoration of Power Networks Supported
by Micro Grids
%X This paper presents a multi-agent-based system for the automatic
restoration of power distribution networks supported by micro grids. The
multi-agent automatic restoration system (MARS) is composed of eight
types of agents: switch agents (AC), feeder agents (AL), tie switch
agents (AE), connection point agent (APC), generation agent (AG), demand
agent (AD), storage agent (AA), and dispatch generation agent (AGC). The
agents work together in order to restore costumers load after a fault
occurs in the utility power grid. The MARS was developed in JADE (Java
Agent Development Framework), which is written in Java. Case studies are
supposed to demonstrate the performance of the proposed MARS when
applied to a medium-voltage power distribution network and a microgrid.
The distribution network and the micro grid are modeled in
Matlab-Simulink environment, while the communication tools between JADE
and Simulink are also developed. Simulation results demonstrate that
MARS presents a suitable performance, providing fast and reliable
recovery of the power distribution network. It also evidences the
capability of multi-agent system techniques in the automation and
decision support of smart grids.
%@ 978-1-5090-5127-4
@inproceedings{WOS:000408912200125,
abstract = {This paper presents a multi-agent-based system for the automatic
restoration of power distribution networks supported by micro grids. The
multi-agent automatic restoration system (MARS) is composed of eight
types of agents: switch agents (AC), feeder agents (AL), tie switch
agents (AE), connection point agent (APC), generation agent (AG), demand
agent (AD), storage agent (AA), and dispatch generation agent (AGC). The
agents work together in order to restore costumers load after a fault
occurs in the utility power grid. The MARS was developed in JADE (Java
Agent Development Framework), which is written in Java. Case studies are
supposed to demonstrate the performance of the proposed MARS when
applied to a medium-voltage power distribution network and a microgrid.
The distribution network and the micro grid are modeled in
Matlab-Simulink environment, while the communication tools between JADE
and Simulink are also developed. Simulation results demonstrate that
MARS presents a suitable performance, providing fast and reliable
recovery of the power distribution network. It also evidences the
capability of multi-agent system techniques in the automation and
decision support of smart grids.},
added-at = {2022-05-23T20:00:14.000+0200},
address = {345 E 47TH ST, NEW YORK, NY 10017 USA},
author = {Marcal, Fernando Americo A R and Leao, Ruth Pastora S and Almada, Janaina B and Sampaio, Raimundo F and Antunes, Fernando L M and Rocha, Janaina E and Barroso, Giovanni C},
biburl = {https://www.bibsonomy.org/bibtex/2e7809de0d53fda50983d2b926fdcb55a/ppgfis_ufc_br},
booktitle = {2016 12TH IEEE/IAS INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS
(INDUSCON)},
interhash = {ce6bca5f4cde4debdba86fae33a8adfe},
intrahash = {e7809de0d53fda50983d2b926fdcb55a},
isbn = {978-1-5090-5127-4},
keywords = {Micro Multiagent grids; restoration; system} {Automatic},
note = {12th IEEE/IAS International Conference on Industry Applications
(INDUSCON), Curitiba, BRAZIL, NOV 20-23, 2016},
organization = {IEEE; IEEE S Brazil Sect; IEEE Ind Applicat Soc; Univ Tecnologica Fed
Parana; VECTOR; LORENZO Brazil},
publisher = {IEEE},
pubstate = {published},
timestamp = {2022-05-23T20:00:14.000+0200},
title = {Multi-agent Systems Applied for Restoration of Power Networks Supported
by Micro Grids},
tppubtype = {inproceedings},
year = 2016
}