A Self-Healing Strategy for Modern Distribution Networks

Cleberton Reiz (), Caio E. M. Pereira and Jonatas B. Leite
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Cleberton Reiz: Department of Electrical Engineering, São Paulo State University (UNESP), Ilha Solteira, São Paulo 15385-000, Brazil
Caio E. M. Pereira: Department of Electrical Engineering, São Paulo State University (UNESP), Ilha Solteira, São Paulo 15385-000, Brazil
Jonatas B. Leite: Department of Electrical Engineering, São Paulo State University (UNESP), Ilha Solteira, São Paulo 15385-000, Brazil

Energies, 2023, vol. 16, issue 16, 1-17

Abstract: Electrical distribution companies have been investing in modernizing their structures, especially operation automation. The integration of information technologies and communications makes fast power restoration during fault events, providing better profit to companies and a more reliable and safe distribution network for customers. A self-healing strategy can be implemented for protection and control devices to work cooperatively, achieving the global purpose of automatic distribution system restoration. Thus, this work proposes a methodology for short-circuit fault detection, isolation of the faulted section, and restoration of downstream sections using neighbor feeders. The protection devices use standardized IEC and ANSI/IEEE functions to sensitize faults in the system and to promote adequate isolation, allowing the consequent restorative process. A genetic algorithm optimizes the devices’ parameters used in the protection scheme, making fastest the isolation process and ensuring the protection system coordination and selectivity. Results obtained using Simulink ® allows for verifying the proposed methodology’s behavior and efficiency.

Keywords: distribution systems; power system protection; adaptive protection; service restoration; self-healing; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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