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Optimum wind turbines operation for minimizing wake effect losses in offshore wind farms

Javier Serrano González, Manuel Burgos Payán, Jesús Manuel Riquelme Santos

Open publisher page 26 citations

Abstract

This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.

About this research paper

What this paper is about

This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.

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OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.

Key concepts: Wake, Wind power, Offshore wind power, Marine engineering, Turbine, Wind speed, Environmental science, Automotive engineering

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