Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier (2019)
- Authors:
- USP affiliated authors: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; LONDON JUNIOR, JOAO BOSCO AUGUSTO - EESC
- Unidades: ICMC; EESC
- DOI: 10.1016/j.ijepes.2018.10.026
- Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA; OTIMIZAÇÃO COMBINATÓRIA; ALGORITMOS; OTIMIZAÇÃO COMBINATÓRIA; OBSERVABILIDADE; ALGORITMOS GENÉTICOS
- Keywords: Power system state estimation; Measurement placement; Synchronized phasor measurements; Multi-objective evolutionary algorithm
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2019
- Source:
- Título: International Journal of Electrical Power & Energy Systems
- ISSN: 0142-0615
- Volume/Número/Paginação/Ano: v. 106, p. 373-382, Mar. 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VIGLIASSI, Marcos Paulo et al. Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier. International Journal of Electrical Power & Energy Systems, v. 106, p. 373-382, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijepes.2018.10.026. Acesso em: 12 fev. 2026. -
APA
Vigliassi, M. P., Massignan, J. A. D., Delbem, A. C. B., & London Junior, J. B. A. (2019). Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier. International Journal of Electrical Power & Energy Systems, 106, 373-382. doi:10.1016/j.ijepes.2018.10.026 -
NLM
Vigliassi MP, Massignan JAD, Delbem ACB, London Junior JBA. Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 106 373-382.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1016/j.ijepes.2018.10.026 -
Vancouver
Vigliassi MP, Massignan JAD, Delbem ACB, London Junior JBA. Multi-objective evolutionary algorithm in tables for placement of SCADA and PMU considering the concept of Pareto Frontier [Internet]. International Journal of Electrical Power & Energy Systems. 2019 ; 106 373-382.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1016/j.ijepes.2018.10.026 - Análise comparativa entre algoritmos evolutivos multi-objetivos aplicados ao problema de redução de perdas em sistemas de distribuição de grande porte
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- Combining subpopulation tables, non-dominated solutions and strength Pareto of MOEAs to treat service restoration problem in large-scale distribution systems
- Multi-objective evolutionary algorithm for single and multiple fault service restoration in large-scale distribution systems
- Validation of a methodology for service restoration on a real brazilian distribution system
- A multi-objective evolutionary algorithm with efficient data structure and heuristic initialization for fault service restoration
- Combining multi-objective evolutionary algorithm and HΔ matrix for SCADA and PMU placement
- Integrando relevantes aspectos de algoritmos evolutivos multi-objetivo para tratamento do problema de restabelecimento de energia em sistemas de distribuição de grande porte
- Multiobjective discrete differential evolution for service restoration in energy distribution systems
- Integrating relevant aspects of MOEAs to solve loss reduction problem in large-scale distribution systems
Informações sobre o DOI: 10.1016/j.ijepes.2018.10.026 (Fonte: oaDOI API)
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