Fault indicator placement optimization using the cross-entropy method and traffic simulation data

M. L. Cardoso; L. F. Venturini; Y. L. Baracy; I. M.B. Ulisses; L. E. Bremermann; A. P. Grilo-Pavani; L. M. Carvalho; D. Issicaba

doi:10.1016/j.epsr.2022.108391

Fault indicator placement optimization using the cross-entropy method and traffic simulation data

M. L. Cardoso, L. F. Venturini, Y. L. Baracy, I. M.B. Ulisses, L. E. Bremermann, A. P. Grilo-Pavani, L. M. Carvalho, D. Issicaba

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3 Citações (Scopus)

Resumo

This paper presents an approach to optimize the placement of fault indicator devices in distribution systems using the cross-entropy method and results from traffic simulations. The problem formulation takes into account the impact of the devices on restoration times and costs due to fines related to service interruption reliability indices. Candidate solutions to the problem are evaluated using sequential Monte Carlo simulations, where travel times of maintenance crews are sampled according to data acquired from mobility traffic simulations. Results show the applicability of the approach in different simulation scenarios and the benefits of installing the devices in distribution networks.

Idioma original	Inglês
Número do artigo	108391
Revista	Electric Power Systems Research
Volume	212
DOIs	https://doi.org/10.1016/j.epsr.2022.108391
Estado da publicação	Publicadas - nov. 2022
Publicado externamente	Sim

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© 2022 Elsevier B.V.

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Financiadoras/-es	Número do financiador
INESC
Institute of Systems and Computer Engineering, Research and Development of Brazil
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Agência Nacional de Energia Elétrica	PD-00405-1804/2018

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10.1016/j.epsr.2022.108391

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@article{7e8099a701e04d9b979734c914b91104,

title = "Fault indicator placement optimization using the cross-entropy method and traffic simulation data",

abstract = "This paper presents an approach to optimize the placement of fault indicator devices in distribution systems using the cross-entropy method and results from traffic simulations. The problem formulation takes into account the impact of the devices on restoration times and costs due to fines related to service interruption reliability indices. Candidate solutions to the problem are evaluated using sequential Monte Carlo simulations, where travel times of maintenance crews are sampled according to data acquired from mobility traffic simulations. Results show the applicability of the approach in different simulation scenarios and the benefits of installing the devices in distribution networks.",

keywords = "Cross-entropy, Fault indicator, Monte Carlo simulation, Power distribution, Traffic simulation",

author = "Cardoso, {M. L.} and Venturini, {L. F.} and Baracy, {Y. L.} and Ulisses, {I. M.B.} and Bremermann, {L. E.} and Grilo-Pavani, {A. P.} and Carvalho, {L. M.} and D. Issicaba",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2022",

month = nov,

doi = "10.1016/j.epsr.2022.108391",

language = "English",

volume = "212",

journal = "Electric Power Systems Research",

issn = "0378-7796",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Fault indicator placement optimization using the cross-entropy method and traffic simulation data

AU - Cardoso, M. L.

AU - Venturini, L. F.

AU - Baracy, Y. L.

AU - Ulisses, I. M.B.

AU - Bremermann, L. E.

AU - Grilo-Pavani, A. P.

AU - Carvalho, L. M.

AU - Issicaba, D.

PY - 2022/11

Y1 - 2022/11

N2 - This paper presents an approach to optimize the placement of fault indicator devices in distribution systems using the cross-entropy method and results from traffic simulations. The problem formulation takes into account the impact of the devices on restoration times and costs due to fines related to service interruption reliability indices. Candidate solutions to the problem are evaluated using sequential Monte Carlo simulations, where travel times of maintenance crews are sampled according to data acquired from mobility traffic simulations. Results show the applicability of the approach in different simulation scenarios and the benefits of installing the devices in distribution networks.

AB - This paper presents an approach to optimize the placement of fault indicator devices in distribution systems using the cross-entropy method and results from traffic simulations. The problem formulation takes into account the impact of the devices on restoration times and costs due to fines related to service interruption reliability indices. Candidate solutions to the problem are evaluated using sequential Monte Carlo simulations, where travel times of maintenance crews are sampled according to data acquired from mobility traffic simulations. Results show the applicability of the approach in different simulation scenarios and the benefits of installing the devices in distribution networks.

KW - Cross-entropy

KW - Fault indicator

KW - Monte Carlo simulation

KW - Power distribution

KW - Traffic simulation

UR - http://www.scopus.com/inward/record.url?scp=85134653637&partnerID=8YFLogxK

U2 - 10.1016/j.epsr.2022.108391

DO - 10.1016/j.epsr.2022.108391

M3 - Article

AN - SCOPUS:85134653637

SN - 0378-7796

VL - 212

JO - Electric Power Systems Research

JF - Electric Power Systems Research

M1 - 108391

ER -

Fault indicator placement optimization using the cross-entropy method and traffic simulation data

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