Integrating relevant aspects of MOEAs applied to service restoration in distribution systems (2012)
- Authors:
- USP affiliated authors: LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidades: EESC; ICMC
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; REDES COMPLEXAS; ALGORITMOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2012
- ISBN: 9781467327299
- Conference titles: IEEE PES General Meeting
-
ABNT
SANCHES, Danilo Sipoli et al. Integrating relevant aspects of MOEAs applied to service restoration in distribution systems. 2012, Anais.. Piscataway: IEEE, 2012. . Acesso em: 19 set. 2024. -
APA
Sanches, D. S., London Junior, J. B. A., Delbem, A. C. B., & Santos, A. C. dos. (2012). Integrating relevant aspects of MOEAs applied to service restoration in distribution systems. In . Piscataway: IEEE. -
NLM
Sanches DS, London Junior JBA, Delbem ACB, Santos AC dos. Integrating relevant aspects of MOEAs applied to service restoration in distribution systems. 2012 ;[citado 2024 set. 19 ] -
Vancouver
Sanches DS, London Junior JBA, Delbem ACB, Santos AC dos. Integrating relevant aspects of MOEAs applied to service restoration in distribution systems. 2012 ;[citado 2024 set. 19 ] - Multiobjective evolutionary algorithm with a discrete differential mutation operator developed for service restoration in distribution systems
- Towards the improvement of multi-objective evolutionary algorithms for service restoration
- Metodologia para redução de perdas de energia elétrica e melhoria do perfil de tensão em sistemas de distribuição de energia
- Methodology for service restoration in large-scale distribution systems with priority customers
- Avaliação de uma metodologia para restabelecimento de energia a partir de simulações computacionais em um sistema de distribuição real de grande porte
- A multi-objective evolutionary algorithm with efficient data structure and heuristic initialization for fault service restoration
- Node-depth encoding with recombination for multi-objective evolutionary algorithm to solve loss reduction problem in large-scale distribution systems
- Combining multi-objective evolutionary algorithm and HΔ matrix for SCADA and PMU placement
- Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier
- Multiobjective discrete differential evolution for service restoration in energy distribution systems
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