Maintenance Planning in Wind Farms with Allocation of Teams Using Genetic Algorithms

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

Autores

José Farinha (Autor) Outra; Inácio Fonseca (Autor) Outra; Fernando Maciel Barbosa (Autor) FADEUP

Revista

Título: IEEE Latin America Transactions

Vol. 12

Páginas: 1062-1070

ISSN: 1548-0992

Editora: IEEE

Indexação

ISI Web of Knowledge - 3 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-009-V46

Abstract (EN): Renewable energy is essential for global sustainability. Wind power gave 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

Nº de páginas: 9