Metodologia para Restabelecimento de Energia em Cenários de Múltiplas Faltas em um Sistema de Distribuição Real de Grande Porte

  • Gustavo da S. P. Rondon Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos-SP
  • Etiane O. P. de Carvalho Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos-SP
  • Jullian C. Zan Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos-SP
  • João Bosco A. London Jr. Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos-SP
  • Leandro T. Marques Departamento de Engenharia Elétrica, Universidade Federal de Mato Grosso, Cuiabá - MT
Keywords: Local Exhaustive Search, Multi-objective Evolutionary Algorithm, Multiple Faults, Service Restoration, Distribution Systems

Abstract

Due to the costly permanent faults that frequently occur in distribution systems, switching operations are necessary to reconfigure the distribution electrical network and restore the energy supply to the maximum number of disconnected consumers. Currently, several works available in the literature present computational methods capable of providing solutions to the service restoration problem. However, many of these works do not deal with the possibility of defining partial restoration solutions, as well as having limitations in scenarios of multiple faults. In this context, this paper proposes a methodology for service restoration in real distribution systems. The proposed methodology combines the execution of an evolutionary algorithm with a modified local exhaustive search, allowing the analysis of multiple fault scenarios considering several practical aspects of the problem and the possibility of defining partial restoration solutions when it is not possible to reconnect all consumers. The methodology was tested in situations of up to four simultaneous faults and proved capable of providing a variety of solutions for the most critical scenarios of multiple faults.
Published
2023-10-18