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

Inacio Fonseca | Zendy; Jose Torres Farinha | Zendy; Fernando Maciel Barbosa | Zendy

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

Author(s) -

Inacio Fonseca,

Jose Torres Farinha,

Fernando Maciel Barbosa

Publication year - 2014

Publication title -

ieee latin america transactions

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.251

H-Index - 26

ISSN - 1548-0992

DOI - 10.1109/tla.2014.6894001

Subject(s) - power, energy and industry applications , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , fields, waves and electromagnetics , general topics for engineers

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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