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

• Type: Article in International Scientific Journal
• Date: 2014

Authors

Fonseca, I (Author) Other; Farinha, JT (Author) Other; Fernando Maciel Barbosa (Author) FEUP

Journal

Title: IEEE Latin America Transactions

Vol. 12

Pages: 1062-1070

ISSN: 1548-0992

Publisher: IEEE

Indexing

Scopus - 5 Citations

Other information

Authenticus ID: P-00K-8R1

DOI: 10.1109/tla.2014.6894001

Abstract (EN): 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.

Language: Portuguese

Type (Professor's evaluation): Scientific