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 (inacio.fonseca@dem.uc.pt)1, José Torres Farinha (torres.farinha@dem.uc.pt)1, Fernando Maciel Barbosa (fmb@fe.up.pt)2


1Centro de Engenharia Mecânica da Universidade de Coimbra
2INESC Porto

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2014
Volume: 12,   Issue: 6 
ISSN: 1548-0992


Abstract:
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.

Index Terms:
Ant optimization, Dijkstra’s algorithm, Genetic algorithms, Optimization, Renewable energy, Wind energy, Wind farm maintenance   


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