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首页> 外文期刊>Latin America Transactions, IEEE (Revista IEEE America Latina) >Maintenance planning in wind farms with allocation of teams using genetic algorithms
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Maintenance planning in wind farms with allocation of teams using genetic algorithms

机译:使用遗传算法分配团队进行风电场维护计划

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摘要

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.
机译:可再生能源对于全球可持续发展至关重要。风力发电为这种能源范例做出了巨大贡献。本文介绍了用于近海和近海风电场的维护管理系统,以及使用遗传算法安排维护的方法。在该主题下,存在一个与确定两点之间的最便宜路径有关的子问题。本文比较了遗传算法,Dijkstra算法和蚂蚁优化算法三种方法在确定不同风电场之间最便宜维护路径时的性能。

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