Multi-objective optimization of wind turbines maintenance using the Whale Optimization Algorithm
DOI:
https://doi.org/10.22399/ijcesen.4597Keywords:
Maintenance, Wind turbines, Multi-objective optimization, Bacterial foraging algorithmAbstract
Wind energy is the most productive source of electricity in wind rich regions. The exploitation of this clean energy requires the establishment of Onshore / Offshore wind farms to meet national electricity needs. The wind stochasticity in these zones makes random the loads undergone by these wind turbines unlike the majority of industrial machines operating in more or less static conditions. Under these conditions, the establishment of an optimal maintenance plan becomes more of a necessity in order to reduce unexpected shutdowns and maintain the electricity production levels of the wind systems. In this paper, a new multi-objective optimization is proposed whose objective functions aim to improve the availability of wind turbines and reduce their maintenance costs. To do this, the Whale Optimization Algorithm is proposed to solve the present problem based on the various determined constraints.
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