Maintenance planning in wind farms with allocation of teams using genetic algorithms

• Tipo: Artigo em Revista Científica Internacional
• Data: 2014

Autores

Fonseca, I (Autor) Outra; Farinha, JT (Autor) Outra; Fernando Maciel Barbosa (Autor) FEUP

Revista

Título: IEEE Latin America Transactions

Vol. 12

Páginas: 1062-1070

ISSN: 1548-0992

Editora: IEEE

Indexação

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-00K-8R1

DOI: 10.1109/tla.2014.6894001

Abstract (EN): Renewable energy is essential for global sustainability. Wind power has given a great contribution to this energy paradigm. The paper describes a maintenance management system for inshore and offshore wind farms, as well as a method to schedule maintenance using genetic algorithms. Under this subject there exists a sub-problem that concerns with the determination of the cheapest path between two points. The paper compares the performance of three methods: genetic algorithms, Dijkstra's algorithm and ant optimization algorithm to the determination of the cheapest path between different wind parks for maintenance.

Idioma: Português

Tipo (Avaliação Docente): Científica