Maintenance Planning in Wind Farms with Allocation of Teams Using Genetic Algorithms

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

Authors

José Farinha (Author) Other; Inácio Fonseca (Author) Other; Fernando Maciel Barbosa (Author) FADEUP

Journal

Title: IEEE Latin America Transactions

Vol. 12

Pages: 1062-1070

ISSN: 1548-0992

Publisher: IEEE

Indexing

ISI Web of Knowledge - 3 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Technological sciences > Engineering

Other information

Authenticus ID: P-009-V46

Abstract (EN): Renewable energy is essential for global sustainability. Wind power gave 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

No. of pages: 9