The development of self-healing systems in the context of power
distribution networks has increased significantly over the last years.
However, such feature causes changes in the power grid structure, which
may affect the coordination of protection systems. This work proposes a
self-healing system (SHS) integrated with an adaptive protection system
(APS) based on multi-agent systems (MAS). This approach aims at
minimizing adverse impacts caused by the network restoration on the
protection systems of distribution networks that contain distributed
generation (DG). The SHS uses negotiation among agents to maximize the
number of restored loads, while the agents of the APS reset the
protection settings after changes occur in the network topology and
state of DGs. The APS is capable of changing the current setting group
and, if necessary, calculating new settings that can be sent to the
relays to ensure the accurate coordination of protection systems. The
proposed schemes are evaluated in a test workbench using commercial
digital relays in different scenarios comprising DG penetration levels
and network topology changes. The results clearly demonstrate that this
strategy is fast and reliable when enhancing and providing robustness to
the self-healing procedure.
%0 Journal Article
%1 WOS:000564268700004
%A Sampaio, Felipe C
%A Leao, Ruth P S
%A Sampaio, Raimundo F
%A Melo, Lucas S
%A Barroso, Giovanni C
%C PO BOX 564, 1001 LAUSANNE, SWITZERLAND
%D 2020
%I ELSEVIER SCIENCE SA
%J ELECTRIC POWER SYSTEMS RESEARCH
%K Distributed Distribution Multi-agent Self-healing; generation; networks; protection; systems} {Adaptive
%R 10.1016/j.epsr.2020.106525
%T A multi-agent-based integrated self-healing and adaptive protection
system for power distribution systems with distributed generation
%V 188
%X The development of self-healing systems in the context of power
distribution networks has increased significantly over the last years.
However, such feature causes changes in the power grid structure, which
may affect the coordination of protection systems. This work proposes a
self-healing system (SHS) integrated with an adaptive protection system
(APS) based on multi-agent systems (MAS). This approach aims at
minimizing adverse impacts caused by the network restoration on the
protection systems of distribution networks that contain distributed
generation (DG). The SHS uses negotiation among agents to maximize the
number of restored loads, while the agents of the APS reset the
protection settings after changes occur in the network topology and
state of DGs. The APS is capable of changing the current setting group
and, if necessary, calculating new settings that can be sent to the
relays to ensure the accurate coordination of protection systems. The
proposed schemes are evaluated in a test workbench using commercial
digital relays in different scenarios comprising DG penetration levels
and network topology changes. The results clearly demonstrate that this
strategy is fast and reliable when enhancing and providing robustness to
the self-healing procedure.
@article{WOS:000564268700004,
abstract = {The development of self-healing systems in the context of power
distribution networks has increased significantly over the last years.
However, such feature causes changes in the power grid structure, which
may affect the coordination of protection systems. This work proposes a
self-healing system (SHS) integrated with an adaptive protection system
(APS) based on multi-agent systems (MAS). This approach aims at
minimizing adverse impacts caused by the network restoration on the
protection systems of distribution networks that contain distributed
generation (DG). The SHS uses negotiation among agents to maximize the
number of restored loads, while the agents of the APS reset the
protection settings after changes occur in the network topology and
state of DGs. The APS is capable of changing the current setting group
and, if necessary, calculating new settings that can be sent to the
relays to ensure the accurate coordination of protection systems. The
proposed schemes are evaluated in a test workbench using commercial
digital relays in different scenarios comprising DG penetration levels
and network topology changes. The results clearly demonstrate that this
strategy is fast and reliable when enhancing and providing robustness to
the self-healing procedure.},
added-at = {2022-05-23T20:00:14.000+0200},
address = {PO BOX 564, 1001 LAUSANNE, SWITZERLAND},
author = {Sampaio, Felipe C and Leao, Ruth P S and Sampaio, Raimundo F and Melo, Lucas S and Barroso, Giovanni C},
biburl = {https://www.bibsonomy.org/bibtex/26a3e297dcdead582d6f3040b13bc467c/ppgfis_ufc_br},
doi = {10.1016/j.epsr.2020.106525},
interhash = {c9939a563fa8930d72d9c3d0b95ee750},
intrahash = {6a3e297dcdead582d6f3040b13bc467c},
issn = {0378-7796},
journal = {ELECTRIC POWER SYSTEMS RESEARCH},
keywords = {Distributed Distribution Multi-agent Self-healing; generation; networks; protection; systems} {Adaptive},
publisher = {ELSEVIER SCIENCE SA},
pubstate = {published},
timestamp = {2022-05-23T20:00:14.000+0200},
title = {A multi-agent-based integrated self-healing and adaptive protection
system for power distribution systems with distributed generation},
tppubtype = {article},
volume = 188,
year = 2020
}