A Layout Investigation of Large Wind Farm in Akhfennir using Real Coded Genetic Algorithm

Hassoine, Mohammed Amine and Lahlou, Fouad and Addaim, Adnane and Ait Madi, Abdessalam (2019) A Layout Investigation of Large Wind Farm in Akhfennir using Real Coded Genetic Algorithm. In: ICCWCS 2019, 24-25 April 2019, Kenitra, Morocco.

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Abstract

The objective of this study is to evaluate the effect of wind turbine spacing in large wind farm on the total energy loss of the wind farm, the power loss is due to the wake effect between wind turbines, on a site gathering several wind turbines, if the wind turbines are too close, the loss of power increases with the wake effect. This paper presents an investigation into optimal wind farm layout in 88 wind farm configurations of a hypothetical WF in Tarfaya, to search the optimal number of Wind Turbines (WTs), the wind farm are Installed on an area of 35 km2 (7000m×5000m), with the aim to maximize the electrical power generated by all WTs and grows the annual economic profitability of the WF, in order to approve the result of this investigation a new approach based on the division of the wind farm in the sub domain method is proposed, to search the optimal location of Wind Turbines by mean an RCGA (Real Coded Genetic Algorithm). This new proposed approach is promising in terms of the applicability in large wind farm. It is also more suitable when performing the wind farm layout assessment in WPP (Wind Power Project).

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: wind farm power layout optimization cost energy rcga genetic algorithm
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 15 Oct 2021 07:05
Last Modified: 15 Oct 2021 07:05
URI: https://eprints.eudl.eu/id/eprint/7621

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