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Vulnerability and Recovery Capacity Assessment of Real Distribution Systems

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Abstract

Modern society heavily depends on electricity for vital services, delivered to final users by Distribution Systems (DSs). Since DSs are exposed to permanent faults that can cause the non-supply of electricity to large areas, increases in their resilience have been a growing concern of researchers, public agents, and society. This paper proposes a methodology for analyses of two important metrics for resilience assessment, namely vulnerability and recovery capacity of real DSs for permanent faults (single and multiple faults). The methodology quantifies the single and multiple faults’ probability of occurrence for estimating the DS vulnerability and the system’s capacity to deal with the impacts of permanent faults through the Service Restoration (SR) process. It comprises a statistical analysis for finding the faults probabilities and a multi-objective evolutionary algorithm for solving the SR problem for large-scale DSs. The results from its application to a real large-scale Brazilian DS, composed of 49,938 buses, 4771 switches, 9 substations, and 95 feeders are provided. The study shares valuable utility experience towards new insights and on challenges faced in the real-time operation of a Brazilian DS.

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Notes

  1. A sector is a grouping of electric conductors, load or passage buses interconnected by maneuvre or protection switches.

  2. A tree is a connected and acyclic graph.

  3. According to the Electricity Distribution Procedure of ANEEL (National Electric Energy Agency), quality and continuity indicators are evaluated only for long term breaks defined as interruptions lasting longer than 3 min.

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Authors and Affiliations

  1. Paranaense Company of Energy, Curitiba, PR, Brazil

    Marcos H. Marçal Camillo & Rodrigo. Z. Fanucchi

  2. Department of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

    Michel Bessani

  3. Department of Electrical Engineering, Federal University of Mato Grosso, Cuiabá, MT, Brazil

    Leandro. T. Marques

  4. Institute of Computer Science, Federal University of Goiás, Goiania, GO, Brazil

    Telma W. L. Soares

  5. Department of Electrical and Computing Engineering, University of São Paulo, São Carlos, SP, Brazil

    Etiane O. P. de Carvalho, Benvindo R. Pereira Junior, Carlos D. Maciel & João Bosco A. London Junior

Authors
  1. Marcos H. Marçal Camillo
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  2. Rodrigo. Z. Fanucchi
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  3. Michel Bessani
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  4. Leandro. T. Marques
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  6. Etiane O. P. de Carvalho
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  8. Carlos D. Maciel
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  9. João Bosco A. London Junior
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Correspondence to João Bosco A. London Junior.

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This work was partially supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) under Grant 314439/2021-8, Companhia Paranaense de Energia-(COPEL) S/A under Grant PD2866-0504/2018, and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 and Fundação de Amparoà Pesquisa de Minas Gerais (FAPEMIG).

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Camillo, M.H.M., Fanucchi, R.Z., Bessani, M. et al. Vulnerability and Recovery Capacity Assessment of Real Distribution Systems. J Control Autom Electr Syst 34, 1054–1069 (2023). https://doi.org/10.1007/s40313-023-01013-5

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