Application of Centralized Self-Healing Architecture in a Distribution Network – Case Study
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Paper number
2162
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Torres dos Santos, Tiago, Powersyslab, Brazil
Lorensi dos Santos, Lucas, Powersyslab, Brazil
Farinon, Felipe , Powersyslab, Brazil
Becon Lemos, Flavio Antonio, Universidade Federal do Rio Grande do Sul, Brazil
Netto Dias, Rubem, Elipse Software, Brazil
Leite, Aluisio, Energisa S.A., Brazil
Lorensi dos Santos, Lucas, Powersyslab, Brazil
Farinon, Felipe , Powersyslab, Brazil
Becon Lemos, Flavio Antonio, Universidade Federal do Rio Grande do Sul, Brazil
Netto Dias, Rubem, Elipse Software, Brazil
Leite, Aluisio, Energisa S.A., Brazil
Abstract
Advanced Distribution Managements Systems (ADMS) that employ the Smart Grids technology need to perform an essential task called self-healing function. A self-healing grid can detect and identify faults, overload or equipment outage; diagnose and isolate faulty network component; and automatically restore the service to consumers using healthy sections of network. This paper presents a conceptual approach to the concept, and a modular, scalable control architecture for a self- healing solution in a smart distribution system. To illustrate the proposed architecture, we report the experience with developing and implementing a centralized self-healing system in a regional distribution utility in Brazil, called ENERGISA MS.The self-healing is performed on a network with 293 reclosers, installed along 82 overhead feeders connected to nine substations with 357 MW peak load, supplying energy to 300,000 consumers.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/754
http://dx.doi.org/10.34890/975
http://dx.doi.org/10.34890/975
ISSN
2032-9644
ISBN
978-2-9602415-0-1