Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.24-4-2019.2284188,
        author={Mohammed Amine  Hassoine and Fouad  Lahlou and Adnane  Addaim and Abdessalam  Ait Madi},
        title={A Layout Investigation of Large Wind Farm in Akhfennir using Real Coded Genetic Algorithm},
        proceedings={Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofa\~{n}l University -K\^{e}nitra- Morocco},
        publisher={EAI},
        proceedings_a={ICCWCS},
        year={2019},
        month={5},
        keywords={wind farm power layout optimization cost energy rcga genetic algorithm},
        doi={10.4108/eai.24-4-2019.2284188}
    }
    
  • Mohammed Amine Hassoine
    Fouad Lahlou
    Adnane Addaim
    Abdessalam Ait Madi
    Year: 2019
    A Layout Investigation of Large Wind Farm in Akhfennir using Real Coded Genetic Algorithm
    ICCWCS
    EAI
    DOI: 10.4108/eai.24-4-2019.2284188
Mohammed Amine Hassoine1,*, Fouad Lahlou2, Adnane Addaim3, Abdessalam Ait Madi3
  • 1: Faculty of Sciences,Ibn Tofail University, Kénitra, Morocco
  • 2: Faculty of Sciences, Ibn Tofail University, Kénitra, Morocco
  • 3: National School of Applied Sciences, Ibn Tofail University, Kénitra, Morocco
*Contact email: romema@yahoo.fr

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).