| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 784.49 KB | Adobe PDF |
Orientador(es)
Resumo(s)
This study proposes a new strategy to solve the problem of radial power distribution system (RDS) recon figuration in a multi-objective and constrained environment. Due to the presence of various conflicting objectives and constraints, the proposed strategy uses the Elitist Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), an effective evolutionarymulti-objective optimization technique. NSGA-II determines a set of pareto-optimal solutions for the power distribution system topology, considering power losses, reliability and investment in tie-switches. The methodology adopted to evaluate the RDS reliability uses a non-sequential Monte Carlo Simulation and is focused on the impacts of branch failures for interruption energy assessment. The effectiveness of the proposed methodology is demonstrated on a 69 bus RDS.
Descrição
First published: 24 October 2013.
Palavras-chave
Distribution system optimization Multi-objective evolutionary algorithm Network reconfiguration Power losses Reliability
Contexto Educativo
Citação
Vitorino, Romeu & Jorge, Humberto & Neves, Luís. (2013). Multi-objective optimization using NSGA-II for power distribution system reconfiguration. International Transactions on Electrical Energy Systems. 25. 10.1002/etep.1819.
Editora
Wiley
Licença CC
Sem licença CC