Planeamento da manutenção em parques eólicos com afectação de equipas usando algoritmos genéticos
(Maintenance planning in wind farms with allocation of teams using genetic algorithms)
Inácio Fonseca (firstname.lastname@example.org)1, José Torres Farinha (email@example.com)1, Fernando Maciel Barbosa (firstname.lastname@example.org)2
1Centro de Engenharia Mecânica da Universidade de Coimbra2INESC Porto
This paper appears in: Revista IEEE América Latina
Publication Date: Sept. 2014
Volume: 12, Issue: 6
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.
Ant optimization, Dijkstra’s algorithm, Genetic algorithms, Optimization, Renewable energy, Wind energy, Wind farm maintenance
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