Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems (2017)
- Authors:
- USP affiliated authors: LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidades: EESC; ICMC
- DOI: 10.1007/s40313-017-0344-9
- Subjects: SISTEMAS DISTRIBUÍDOS; SISTEMAS EMBUTIDOS; ALGORITMOS GENÉTICOS
- Keywords: Large-scale distribution systems; Service restoration; Node-depth encoding; Multiobjective evolutionary algorithms; Differential evolution
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg, Germany
- Date published: 2017
- Source:
- Título do periódico: Journal of Control, Automation and Electrical Systems
- ISSN: 2195-3880
- Volume/Número/Paginação/Ano: v. 28, n. 6, p. 796-805, Dez. 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SANCHES, Danilo Sipoli et al. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems. Journal of Control, Automation and Electrical Systems, v. 28, n. 6, p. 796-805, 2017Tradução . . Disponível em: https://doi.org/10.1007/s40313-017-0344-9. Acesso em: 25 jul. 2024. -
APA
Sanches, D. S., Castoldi, M. F., London Junior, J. B. A., & Delbem, A. C. B. (2017). Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems. Journal of Control, Automation and Electrical Systems, 28( 6), 796-805. doi:10.1007/s40313-017-0344-9 -
NLM
Sanches DS, Castoldi MF, London Junior JBA, Delbem ACB. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems [Internet]. Journal of Control, Automation and Electrical Systems. 2017 ; 28( 6): 796-805.[citado 2024 jul. 25 ] Available from: https://doi.org/10.1007/s40313-017-0344-9 -
Vancouver
Sanches DS, Castoldi MF, London Junior JBA, Delbem ACB. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems [Internet]. Journal of Control, Automation and Electrical Systems. 2017 ; 28( 6): 796-805.[citado 2024 jul. 25 ] Available from: https://doi.org/10.1007/s40313-017-0344-9 - 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
- Integrando relevantes aspectos de algoritmos evolutivos multi-objetivo para tratamento do problema de restabelecimento de energia em sistemas de distribuição de grande porte
- Integrating relevant aspects of MOEAs to solve loss reduction problem in large-scale distribution systems
- Combining subpopulation tables, non-dominated solutions and strength Pareto of MOEAs to treat service restoration problem in large-scale distribution systems
- Differential evolution using ancestor tree for service restoration in power distribution systems
- Restabelecimento de energia em sistemas de distribuição de grande porte com priorização de chaves
Informações sobre o DOI: 10.1007/s40313-017-0344-9 (Fonte: oaDOI API)
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