Abstract
Finding a suitable design for the development of a wind farm (WF) is a complex task in a wind project, hence the optimization methods that become important to deal with this complexity, especially with the wide evolution of areas WF.The objective of this study is the optimization of wind farms according to the selection of wind turbines and the choice of the appropriate objective function. The information collected on a given wind farm makes it possible to choose the wake model and the types of wind turbines to be installed. The Horns Rev offshore wind farm was chosen to test the validation of our approach. The application of a genetic algorithm able to select suitable wind turbines was tested for three well-defined objective functions. The results of this algorithm show a significant improvement in energy production and capacity factor.
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Bellat, A., Mansouri, K., Raihani, A. (2022). Optimization of Wind Farms Based on the Selection of Types of Wind Turbine. In: Saeed, F., Al-Hadhrami, T., Mohammed, E., Al-Sarem, M. (eds) Advances on Smart and Soft Computing. Advances in Intelligent Systems and Computing, vol 1399. Springer, Singapore. https://doi.org/10.1007/978-981-16-5559-3_35
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