Proteção Adaptativa Considerando o Problema de Restabelecimento de Energia em Sistemas de Distribuição

  • Jullian C. Zan Departamento de Engenharia Elétrica e Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos - SP
  • Etiane O. P. de Carvalho Departamento de Engenharia Elétrica e Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos - SP
  • Denis V. Coury Departamento de Engenharia Elétrica e Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos - SP
  • Mário Oleskovicz Departamento de Engenharia Elétrica e Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos - SP
  • João Bosco A. London Jr. Departamento de Engenharia Elétrica e Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos - SP
Keywords: Adaptive Protection, Service Restoration, Multi-Objective Evolutionary Algorithm, Distribution System

Abstract

The solution to the restoration problem consists of minimizing the network switching looking for a new configuration, respecting all operational restrictions, and reconnecting the most significant number of consumers who were left without service due to a permanent fault. Many techniques that deal with this problem present solutions with a low computational time and consider the practical characteristics of real large networks. However, few papers in the literature consider the protection functions and restrictions in service restoration problems. From this perspective, this paper proposes to incorporate the protection functions of the phase and neutral overcurrent relay in the base methodology of a Multiobjective Evolutionary Algorithm in Tables (AEMT). However, the paper will not treat the protection system as a constraint of the problem, preventing reasonable solutions from being selected. Thus an adaptive approach is considered in this paper, that is, adapting the protection system to the new network configurations when they violate the protection restrictions of the system. The observed results were promising, and the importance of incorporating the protection functions into the problem was observed considering the adaptive approach.
Published
2022-10-19
Section
Articles