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

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 subjec...

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Veröffentlicht in:Revista IEEE América Latina Jg. 12; H. 6; S. 1062 - 1070
Hauptverfasser: Fonseca, Inacio, Torres Farinha, Jose, Maciel Barbosa, Fernando
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos IEEE 01.09.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Ant optimization
Dijkstra's algorithm
Formicidae
Genetic algorithms
Maintenance engineering
Optimization
Planning
Renewable energy
Renewable energy sources
Software
Wind energy
Wind farm maintenance
Wind farms
Latin America
ISSN:1548-0992, 1548-0992
Online-Zugang:Volltext
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Zusammenfassung: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.
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ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2014.6894001