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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Bibliographic Details
Published inRevista IEEE América Latina Vol. 12; no. 6; pp. 1062 - 1070
Main Authors Fonseca, Inacio, Torres Farinha, Jose, Maciel Barbosa, Fernando
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.09.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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
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Summary: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