Análise da Localização de Defeitos em Sistemas de Distribuição com Baixo Nível de Monitoramento

  • Rodrigo de A. Coelho Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande, PB
  • Jamile P. N. Amoah Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande, PB
  • Karcius Dantas Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande, PB
  • Kézia Dantas Departamento de Computação, Universidade Estadual da Paraíba, PB
  • Raquel Zacarias Light SA, RJ
Keywords: Fault Location, Electrical Distribution System, System monitoring, Metaheuristics, Genetic Algorithm

Abstract

Voltage, current and frequency are quantities that characterize the behavior of the electrical power system. In a fault condition, the signals have specific aspects that help in the detection and location of faults. However, in large systems, the monitoring of signals does not always occur extensively. This fact is evident in the electrical distribution system (EDS), which presents a greater heterogeneity than the transmission systems. Within this context, one of the alternatives for fault location is the use of metaheuristics based on the states of protective devices. This work presents a study on the use of fault location techniques based on metaheuristics for EDS applications. For this purpose, a 33-bus test system was used to simulate faults and evaluate the status of circuit breakers and relays. Furthermore, in order to identify the level of importance of each device in the diagnosis, the impact of the weights assigned to relays and circuit breakers on the objective function was analyzed. The results were promising and indicated the feasibility of diagnosis of faults using metaheuristics, despite the low level of EDS monitoring.
Published
2022-11-30
Section
Articles