Optimization algorithms applied to maintenance strategies for wind turbines and study of a multi-criteria method for the improvement of preventive maintenance

Abstract

Nowadays, many research teams are more focusing on optimizing the use of renewable energy sources such as wind and solar energy which turned-out to be the solution of the energy crisis and the increasing of fossil power price all over the globe.

In Our country, the policy adopted by the government is to encourage the use and the development of solar energy and wind power. Morocco, land which enjoys an illuminating sun and a speed of winds of the most considerable, put wind force in the middle of its strategy of development of renewable energy sources, as bottomless deposit in perpetual evolution.

The aim of this work is to present a literature review of different kind of maintenance strategies applied in the wind power industry. It will cover the use of optimization techniques and algorithms in order to boost performance, help in monitoring and reduce the cost of energy and maximize the profitability of a wind farm. The choice between adopting classical techniques or use new methods based on artificial intelligence and machine learning or even combination of multiple algorithms is a decisive factor for the success or failure of wind farm projects.

Thereafter we will develop a multi-criteria study in order to determine the essential equipment of the wind turbines in order to improve the maintenance programs. The multi-criteria method captures all the information deemed necessary for the comparison between the equipment.